Natural Language & Storylines

Notes:

In literature and storytelling, the storyline is the sequence of events that make up the plot of a story. It refers to the main storyline or the main plot of a story, as well as any subplots that may be interwoven with the main plot.

The storyline is the backbone of a story, as it provides the structure and direction for the events and characters. It is what drives the action forward and keeps the audience engaged, as it unfolds and reveals new information and twists.

In order to create a compelling storyline, writers need to carefully plan and structure the events of their story. This typically involves brainstorming ideas, developing characters, and outlining the plot. It also involves creating a clear beginning, middle, and end, and using plot devices such as conflict, tension, and resolution to keep the audience engaged.

Narrative storyline refers to the sequence of events that make up a story, including the characters, plot, and setting.
Storyline generation refers to the process of creating a narrative storyline. This can be done manually by a writer or automatically using a computer program or algorithm.
Storyline generator is a tool or program that is used to automatically generate a narrative storyline. This could be in the form of a text-based story or a visual representation of the story, such as a mind map or flowchart.
Storyline system is a framework or method used to create a narrative storyline. This could include a set of rules or guidelines for how the story should be structured, as well as tools and resources to help generate ideas and organize the story.
Storyline visualization refers to the process of representing a narrative storyline in a visual form, such as a mind map or flowchart. This can be useful for brainstorming and organizing ideas, as well as for presenting the story to others in a clear and concise way.

Wikipedia:

Storyline (disambiguation)

References:

Semantic Storytelling: Towards Identifying Storylines in Large Amounts of Text Content.
G Rehm, K Zaczynska, J Moreno – Text2Story@ ECIR, 2019 – ceur-ws.org
… The principles by which the actual construction of storylines based on the recomposition of … The event storyline corpus: A new benchmark for causal and temporal relation … In Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets Journalism, pages 106 …

Plan-and-write: Towards better automatic storytelling
L Yao, N Peng, R Weischedel, K Knight, D Zhao… – … on Artificial Intelligence, 2019 – aaai.org
… genera- tion into two steps: 1) story planning which generates plots, and 2) surface realization which composes natural language text based … Storyline analysis. First, we measure the quality of the generated storylines, and the correlations between a story- line and the generated …

Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts
P Li, K Mao – Expert Systems with Applications, 2019 – Elsevier
… Knowledge-oriented convolutional neural network for causal relation extraction from natural language texts … Abstract. Causal relation extraction is a challenging yet very important task for Natural Language Processing (NLP) …

Natural language adversarial attacks and defenses in word level
X Wang, H Jin, K He – arXiv preprint arXiv:1909.06723, 2019 – arxiv.org
NATURAL LANGUAGE ADVERSARIAL ATTACKS … Up until recent two years, inspired by the big amount of research about adversar- ial example in the field of computer vision, there has been a growing interest in adversarial attacks for Natural Language Processing (NLP) …

Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19)
R Liu, C Christopher, C Martens, S Ontañón… – … on Artificial Intelligence …, 2019 – aaai.org
… 2018) for authoring character be- havior and branching storylines using behavior trees … SHRDLU: A game prototype inspired by winograd’s natural language understanding work. In Four- teenth Artificial Intelligence and Interactive Digital Enter- tainment Conference …

Ukrainian Conflict in Media: Two Approaches to Narrative Analysis
J Mandravickait? – sto.nato.int
… reflect change of rhetoric in four different media channels during conflict and sentiment-based storyline (syuzhet) analysis … Such application of Artificial Intelligence, Natural Language Processing and visualization techniques for big data allows better understanding of reflection …

DREAMT–Embodied Motivational Conversational Storytelling
DMW Powers – arXiv preprint arXiv:1907.09293, 2019 – arxiv.org
… It thus emerges as an essential component of intelligent systems, including systems where natural language is not a primary focus or where we do not … perspective: 1. We operate in an invented world (story) only similar to our real world (history); 2. We plot a storyline, as well as …

A structured learning approach to temporal relation extraction
Q Ning, Z Feng, D Roth – arXiv preprint arXiv:1906.04943, 2019 – arxiv.org
… Understanding temporal information described in natural language text is a key component of nat- ural language understanding (Mani et al., 2006; Verhagen et al … Time-slot filling (Surdeanu, 2013; Ji et al., 2014), storyline construction (Do et al., 2012; Minard et al., 2015), clinical …

Automatic text generation in macedonian using recurrent neural networks
I Milanova, K Sarvanoska, V Srbinoski… – … Conference on ICT …, 2019 – Springer
… Kim, G., Xing, EP: Reconstructing storyline graphs for image recommendation from web community … Sigurdsson, GA, Chen, X., Gupta, A.: Learning visual storylines with skipping recurrent neural … SJ: Sequence-to-sequence models for data-to-text natural language (2018)Google …

Learning to Predict Explainable Plots for Neural Story Generation
G Chen, Y Liu, H Luan, M Zhang, Q Liu… – arXiv preprint arXiv …, 2019 – arxiv.org
… Luan†, Meng Zhang#, Qun Liu# and Maosong Sun† †Institute for Artificial Intelligence State Key … On the contrary, representing outlines as natural language sentences improves interpretability but faces the … (2019) learns to generate a se- quence of keywords as the storyline …

Artificial intelligence systems for programme production and exchange
BT Series – 2019 – xn—-vmcebbajlc6dj7bxne2c.xn …
… In the past year, there have been numerous demonstrable practical applications of Machine Learning (ML) and Artificial Intelligence (AI) in … to communicate with at least four characters in other TV drama series through implementation of a Natural Language Processing (NLP …

Sentiment Analysis Based on Background Knowledge Attention
C Li, Y Zhou, S He, H Wang – 2019 IEEE International …, 2019 – ieeexplore.ieee.org
… Abstract—Sentiment analysis, which is a fundamental research in the field of natural language processing and artificial intelli- gence field, has received much … of reviews, such as product reviews [5]. For instance, in movie reviews, an evil character or a tragic storyline does not …

The 2nd International Workshop on Narrative Extraction from Text: Text2Story 2019
AM Jorge, R Campos, A Jatowt, S Bhatia – European Conference on …, 2019 – Springer
… a wide range of areas including information extraction, information retrieval, natural language processing, text … Argumentation Mining – Narrative Summarization – Multi-modal Summarization – Storyline Visualization – Temporal Aspects of Storylines – Story Evolution …

Natural Language Processing for Book Recommender Systems
H Alharthi – 2019 – ruor.uottawa.ca
… Thus, employing artificial intelligence techniques to spark interest in reading by recommend … Advances in natural language processing encourage the exploitation of book texts … several characters); • Storyline reflects the plot, theme and genre (eg, complex, character-driven); …

Applying Ontology in Computational Creativity Approach for Generating a Story
L Issa, S Jusoh – 2019 2nd International Conference on new …, 2019 – ieeexplore.ieee.org
… a completely implemented narrating prototype, which delineates the generation of variations of a conventional storyline … Linear Story Generation to Branching Story Graphs” American Association for Artificial Intelligence(www.aaai … Building natural-language generation systems …

Can Computers Understand Picture Books and Comics?
M Ueno, K Fukuda, N Mori – Post-Narratology Through …, 2019 – igi-global.com
… Recently, automatic story generation and comprehension has attracted considerable interest as a chal- lenging problem in the fields of artificial intelligence. The types of stories are broadly classified into two categories. One is utilizing natural language, the other is utilizing …

Edgard, the Chatbot: Questioning Ethics in the Usage of Artificial Intelligence Through Interaction Design and Electronic Literature
F Fogliano, F Fabbrini, A Souza, G Fidélio… – … Conference on Human …, 2019 – Springer
… Artificial Intelligence (AI) technologies represent progress as significant as those that in previous … experience in which users create or influence a dramatic storyline through their … it as any software application that involves dialogue with a human being through natural language …

Towards a Conversational Interface for Authoring Intelligent Virtual Characters
X Wang, SS Sohn, M Kapadia – Proceedings of the 19th ACM …, 2019 – dl.acm.org
… in a gaming envi- ronment, interpreting the player’s natural language input to push forward the storyline … In Proceedings of the 13th Artificial Intelligence and Interactive Digital Entertainment Conference … 2018. Computer-Assisted Authoring for Natural Language Story Scripts …

dTexSL: A dynamic disaster textual storyline generating framework
R Yuan, Q Zhou, W Zhou – World Wide Web, 2019 – Springer
… The latter usually employs natural language generation techniques such as information fusion, sentence … relevance feedback and graph optimization approach to generate event storylines from microblogs. To generate a more vivid storyline, [18] proposes a pictorial storyline …

Video question answering with spatio-temporal reasoning
Y Jang, Y Song, CD Kim, Y Yu, Y Kim, G Kim – International Journal of …, 2019 – Springer
… their associations with pairs of questions and answers in the natural language form (Antol … on the other hand, contains multiple choice type questions requiring storyline comprehension … visual content, rather than using contextual knowledge or memorizing storylines from textual …

LYRA: an Interactive and Interactive Storyteller
DH Choi – … on Computational Science and Engineering (CSE) …, 2019 – ieeexplore.ieee.org
… of neural machine translation and tried to build similar neural architectures for other natural language tasks, such … I utilized the interactive fiction program ‘Twine’ to map out three basic storyline diagrams as … The first of these storylines is that of Snow White, albeit altered to have …

Improving event coreference resolution by learning argument compatibility from unlabeled data
YJ Huang, J Lu, S Kurohashi, V Ng – … of the 2019 Conference of the …, 2019 – aclweb.org
… event. This task is critical for natural language processing applica- tions that require deep text understanding, such as storyline extraction/generation, text summariza- tion, question answering, and information extrac- tion. Figure …

How narratives move your mind: A corpus of shared-character stories for connecting emotional flow and interestingness
Y Mori, H Yamane, Y Ushiku, T Harada – Information Processing & …, 2019 – Elsevier
… Natural language understanding. Story evaluation. Emotion. Creativity. Text corpus construction. Crowdsourcing … can become overemphasized and the effect of the storyline on interestingness … To discover the relationship between storylines and emotional flow, we therefore set the …

Measuring gender bias in word embeddings across domains and discovering new gender bias word categories
K Chaloner, A Maldonado – … on Gender Bias in Natural Language …, 2019 – aclweb.org
… Artificial intelligence (AI) acquired from machine learning is becoming more prominent in … For example, in Natural Language Pro- cessing (NLP), résumé search engines can pro … rapper, telephone, together, personally, shoe, heroine, chosen, between, storyline, clothes, ghost …

Tools to create and democratize conversational artificial intelligence
JJR Van Brummelen – 2019 – dspace.mit.edu
… 84 5 Discussion and Conclusions 89 5.1 Students can make positive change through technology development . . . 89 6 Future Work: Interface Improvements, Natural Language Programming, and AI Education 92 A Code 95 A.1 JavaScriptEndpointHeader …

An Exploratory Study on how Artificial Intelligence could help Resolve the Issue of Whitewashing Hollywood Films
LM Luukka – 2019 – diva-portal.org
… Scriptbook uses data mining, machine learning, deep learning and natural language processing to evaluate … in the field; Scriptbook offering insights on the scripts and storylines, Affectiva providing … representation of race and ethnicity as a whole in correlation with the storyline …

Artificial Intelligence in Evaluating Financial Performance of a Firm: Bollywood Industry
V Patila, R Ramaswamyb – siesgst.edu.in
… dances are of primary significance – in several events even further notable than storyline … about financial assessment 20 Not about Indian movies 64 Not about artificial intelligence 50 … The techniques like Natural Language Process (NLP), sentiment analysis, would be used to …

A Review of Artificial Intelligence Adoptions in the Media Industry
SM Chan-Olmsted – International Journal on Media Management, 2019 – Taylor & Francis
… Natural language processing (NLP) enables a computer program to understand human language and to extract meaning and … Media and artificial intelligence … For example, consumer conversations about a show, storylines and characters might be integrated with other third …

A Knowledge Graph based Disaster Storyline Generation Framework
J Ni, X Liu, Q Zhou, L Cao – 2019 Chinese Control And …, 2019 – ieeexplore.ieee.org
… optimization. In our previous work, we proposed a textual storyline generating frame- work (TexSL) [9] which consists of global storylines to cross-location disaster events and local storylines to de- scribe individual events. TexSL …

Whose story is it anyway? Automatic extraction of accounts from news articles
H Zhang, F Boons, R Batista-Navarro – Information Processing & …, 2019 – Elsevier
… While natural language processing (NLP) methods have been employed in previous work (Sudhahar, Franzosi, & Cristianini, 2011) to support … to narrative analysis have also been published as part of the workshops on Computing News Storylines (CNewsStory CNewsStory …

Genre Classification: A Topological Data Analysis Approach
K Shin – 2019 – kevin-shin.com
… Science fiction storylines may involve intricate loops, while adventure narratives may gradually build up to one big … Persistent homology: An introduction and a new text representation for natural language processing. IJCAI International Joint Conference on Artificial Intelligence …

Transfer Learning for Causal Sentence Detection
M Kyriakakis, I Androutsopoulos… – arXiv preprint arXiv …, 2019 – arxiv.org
… In Proceedings of the Conference on Empirical Meth- ods in Natural Language Processing, pages 2830– 2836, Brussels, Belgium. Tommaso Caselli and Piek Vossen. 2017. The event storyline corpus: A new benchmark for causal and tempor

Evaluation of Chatbot Prototypes for Taking the Virtual Patient’s History.
A Reiswich, M Haag – dHealth, 2019 – books.google.com
… this research paper examines various methods from the fields of Natural Language Processing/Machine … as it is the core language for many scientific fields including Artificial Intelligence (AI) & ML … For future development, the dialog system could be extended by storylines …

Guided neural language generation for automated storytelling
P Ammanabrolu, E Tien, W Cheung, Z Luo… – Proceedings of the …, 2019 – aclweb.org
… (2019) decompose story gen- eration into planning out a storyline and then gen … (2018) showed that the performance on both event-to-event and event-to-sentence im- proves when using an abstraction known as an event is used instead of natural language sen- tences …

The Democratization of Artificial Intelligence: Net Politics in the Era of Learning Algorithms
A Sudmann – 2019 – books.google.com
… That is a 1984 Orwellian future at our doorstep, right?“ Natural Language Processing, Artificial … The Democratization of Artificial Intelligence 17 ing and their conditions of possibility … story of technological evolution and its irresistible success which follows a storyline diverging from …

Neural Review Summarization Leveraging User and Product Information
H Liu, X Wan – Proceedings of the 28th ACM International Conference …, 2019 – dl.acm.org
… Spider-Man gives you a great character, plenty of action, and a great storyline. It’s what action movies strive to do … In Proceedings of the 2016 conference on empirical methods in natural language processing … In Proceedings of the AAAI Conference on Artificial Intelligence, Vol …

Learning to control the fine-grained sentiment for story ending generation
F Luo, D Dai, P Yang, T Liu, B Chang, Z Sui… – Proceedings of the 57th …, 2019 – aclweb.org
… (2018b) uses manually an- notated story data to control the ending valence and storyline of story … In Proceedings of the 2013 conference on em- pirical methods in natural language processing … Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, AAAI-18 …

Strategies for structuring story generation
A Fan, M Lewis, Y Dauphin – arXiv preprint arXiv:1902.01109, 2019 – arxiv.org
… Stories are on average 734 words, making the generation far longer compared to re- lated work on storyline generation … Decomposing natural language generation into several steps has been extensively explored (Reiter and Dale, 2000; Gatt and Krahmer, 2018) …

Incorporating structured commonsense knowledge in story completion
J Chen, J Chen, Z Yu – … of the AAAI Conference on Artificial Intelligence, 2019 – aaai.org
… Narrative com- prehension has attracted long-standing interests in natural language processing (Schubert and … Copyright c 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org) … Usu- ally there is a sentiment evolution when a storyline is being revealed …

A Survey of Deep Learning Applied to Story Generation
S Xuanyuan – … , SmartCom 2019, Birmingham, UK, October 11 …, 2019 – books.google.com
… This is because humans advance the storylines and reorganize them into fluent sentences … The storyline-oriented model complements the theme-oriented model and adds vividness … In: Empirical Methods in Natural Language Processing, pp …

Knowledge-Powered Inference of Crowd Behaviors in Semantically Rich Environments
X Zhang, D Schaumann, P Faloutsos… – … on Artificial Intelligence …, 2019 – aaai.org
… Copyright c 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org) … of a spe- cific domain and facilitate the generation of news storylines (Rospocher et al … is represented as a graph that connects words and phrases of natural language with labeled edges …

A Survey of Deep Learning Applied to Story Generation
C Hou, C Zhou, K Zhou, J Sun, S Xuanyuanj – International Conference on …, 2019 – Springer
… This is because humans advance the storylines and reorganize them into fluent sentences … The storyline-oriented model complements the theme-oriented model and adds vividness … In: Empirical Methods in Natural Language Processing, pp …

Artificial Techniques for Language Disorders
E Gkeka, E Agorastou, A Drigas – … , Science & IT …, 2019 – … journals.publicknowledgeproject.org
… These technologies are natural language generation, speech recog- nition, virtual/augmented reality, AI … Artificial Intelligence such us Computer-Based Instruction and Intelligent Tutoring System provides … Training Program” which included a detective themed storyline along with …

Research on Constructing Technology of Implicit Hierarchical Topic Network Based on FP-Growth
W Yu, M Yi, Z Li – International Conference on Artificial Intelligence and …, 2019 – Springer
… ICAIS 2019: Artificial Intelligence and Security pp 260-272 | Cite as … LDA theme model is a typical topic mining model in natural language processing … This is because the IHTN model can submit all the closely related storylines of the problem according to the implicit relationship …

Emotional Text Generation Based on Cross-Domain Sentiment Transfer
R Zhang, Z Wang, K Yin, Z Huang – IEEE Access, 2019 – ieeexplore.ieee.org
… Generative adversarial network (GAN) has shown promising results in natural language generation and data enhance- ment … II. RELATED WORK Natural language generation (NLG) is an important research topic in the field of natural language processing …

SGSG: Semantic graph-based storyline generation in Twitter
N Dehghani, M Asadpour – Journal of Information Science, 2019 – journals.sagepub.com
… Format, Tips on citation download. Download Citation. Download article citation data for: SGSG: Semantic graph-based storyline generation in Twitter. Nazanin Dehghani and Masoud Asadpour. Journal of Information Science 2018 45:3, 304-321. Download Citation …

An Improved Neural Baseline for Temporal Relation Extraction
Q Ning, S Subramanian, D Roth – arXiv preprint arXiv:1909.00429, 2019 – arxiv.org
… Temporal relation extraction has long been an im- portant yet challenging task in natural language processing … This research is supported by a grant from the Allen Institute for Artificial Intelligence (al- lenai.org), the IBM-ILLINOIS Center for Cogni- tive Computing Systems …

In a World of SMART Technology, Why Learn Another Language?
R Godwin-Jones – Journal of Educational Technology & Society, 2019 – JSTOR
… Here, too, fans discuss content online, but they may go further, writing their own stories using the characters or storylines from the original publications or … Emerging trends: Artificial Intelligence, China and my new job at Baidu. Natural Language Engineering, 24(4), 641–647 …

Running While Female: Using AI to Track how Twitter Commentary Disadvantages Women in the 2020 US Primaries
S Oates, O Gurevich, C Walker… – Available at SSRN …, 2019 – papers.ssrn.com
… US elections, campaign, female candidates, social media, bias, Twitter, narratives, artificial intelligence … we are using Twitter to establish the feasibility of employing natural language processing to … that these categories are not mutually exclusive, since a particular storyline 2 can …

Artificial general intelligence in games: Where play meets design and user experience
R Thawonmas, J Togelius, GN Yannakakis – 2019 – pure.itu.dk
… [1] Yannakakis, Georgios N and Togelius, Julian: Artificial intelligence and games … around Computer Vision (including object detection and classification, optical character recognition and others), signal processing (especially for game audio), natural language processing (for text …

Alternative Techniques for Mapping Paths to HLAI
R Gruetzemacher, D Paradice – arXiv preprint arXiv:1905.00614, 2019 – arxiv.org
… approach to the notion of mapping the path to a general form of artificial intelligence … many ways, differs markedly in others due to their emphasis on natural language communication … development of scenarios that can aid in linking quantitative with qualitative storylines [Jetter & …

PART 6: MEDIA CO-CREATION WITH NON-HUMAN SYSTEMS
K Cizek, W Uricchio, S Wolozin – Collective Wisdom, 2019 – wip.mitpress.mit.edu
… and provocateurs have been working with systems broadly described as artificial intelligence for over 50 … characters that are given set parameters rather than specific traits and storylines … Other natural-language generation has been successful in basic email and business-letter …

End-to-End Personalized Humorous Response Generation in Untrimmed Multi-Role Dialogue System
Q Yang, Z He, Z Zhan, R Li, Y Lee, Y Zhang… – IEEE Access, 2019 – ieeexplore.ieee.org
… ABSTRACT Multi-role dialogue is challenging in natural language processing (NLP), which needs not only to understand sentences but also to simulate interaction among roles. However, the existing methods assume that only two speakers are present in a conversation …

Extraction and Description of the Narrative Structure from TV-Series
A BERHE – perso.limsi.fr
… Barrier ? Semantic gap between what is extracted and the storyline convoyed … In AAAI Fall Symposium: Naturally-Inspired Artificial Intelligence, pages 46–53, 2008. 7. Vladimir Propp … Narrative Information Extraction with Non-Linear Natural Language Processing Pipelines …

Counterfactual story reasoning and generation
L Qin, A Bosselut, A Holtzman, C Bhagavatula… – arXiv preprint arXiv …, 2019 – arxiv.org
… Additionally, we include 80,115 counterfactual “branches” without a rewritten storyline to support … our dataset provides 80,115 counterfactual branches without rewritten storylines to support … cognitive science (Byrne, 2002), as well as natural language processing (Hobbs, 2005 …

Churnalist: Fictional Headline Generation for Context-appropriate Flavor Text.
J van Stegeren, M Theune – ICCC, 2019 – ris.utwente.nl
… pers that provide background information on the social unrest that is driving the game’s main storyline … through algorithmic means, is a relatively new addition to the field of artificial intelligence … On the other hand, within the natural language genera- tion field, there are various …

Predicting outcomes in crowdfunding campaigns with textual, visual, and linguistic signals
JC Kaminski, C Hopp – Small Business Economics, 2019 – Springer
… rates in 1996, shows that the number of papers on artificial intelligence increased more … meta-data in 20,188 crowdfunding campaigns, our analysis employs natural language processing techniques … Analyses main- ly relate to the storyline and social construction (Doyle et al …

One for all: Neural joint modeling of entities and events
TM Nguyen, TH Nguyen – … of the AAAI Conference on Artificial Intelligence, 2019 – aaai.org
… Introduction An important problem of information extraction in natural language processing (NLP) is event extraction (EE): under- standing how events are presented in text and developing … Copyright c 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org …

ImALeG: A Serious Game for Amazigh Language Learning
Y Tazouti, S Boulaknadel… – International …, 2019 – … journals.publicknowledgeproject.org
… games, Educational game, learning game, Language learn- ing, Multi-agent System, Artificial intelligence … an organiza- tional structure for planning agents to track the storyline evolution [9] … of the 3rd Workshop on South and Southeast Asian Natural Language Processing (pp …

Guiding extractive summarization with question-answering rewards
K Arumae, F Liu – arXiv preprint arXiv:1904.02321, 2019 – arxiv.org
… answers: P(ek|S,Qk) = softmax(WefReLU(Wuuk + bu)). Such a fully-connected output layer has achieved success on natural language inference (Mou et al., 2016; Chen et al., 2018); here we test its efficacy on answer selection. The …

Novice Programmer to New-Age Application Developer: What Makes Python their First Choice?
RT Narayanan – 2019 10th International Conference on …, 2019 – ieeexplore.ieee.org
… language by observing various aspects rather than creating a ‘marketing storyline’ for the language … C. Artificial Intelligence Artificial Intelligence has evolved over the years to encompass data science, virtual personal assistants, natural language processing, online …

Revisiting lstm networks for semi-supervised text classification via mixed objective function
DS Sachan, M Zaheer, R Salakhutdinov – … on Artificial Intelligence, 2019 – aaai.org
Page 1. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) … Copyright © 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. 1https://github.com/DevSinghSachan/ssl text classification …

The Post-advertising Condition. A Socio-Semiotic and Semio-Pragmatic Approach to Algorithmic Capitalism
R Eugeni – International Conference on Human-Computer …, 2019 – Springer
… to human speech recognition (HSR), automatic speech recognition (ASR) and natural language understanding (NLU … Artificial intelligence has particularly affected the first and second components of VUIs … occupies a prominent place: it is no coincidence that the storyline that stars …

Sentiment analysis for a resource poor language—Roman urdu
K Mehmood, D Essam, K Shafi, MK Malik – ACM Transactions on Asian …, 2019 – dl.acm.org
… Sentiment analysis is an important sub-task of Natural Language Processing that aims to determine the po- larity of a review … ple, “Is dramay ki kahani bohat achi thee, adakaron ki adakari bhe aala thee lakin daramy ka akhir bura hoa” (This drama had a good storyline, acting of …

What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks
S Narayan, SB Cohen, M Lapata – Journal of Artificial Intelligence Research, 2019 – jair.org
Journal of Artificial Intelligence Research 66 (2019) 243-278 … Datasets The summarization of news articles has enjoyed wide pop- ularity in natural language processing due to … which allow readers to spot emerging trends, person mentions, the evolution of storylines, and so on …

Movie Plot Analysis via Turning Point Identification
P Papalampidi, F Keller, M Lapata – arXiv preprint arXiv:1908.10328, 2019 – arxiv.org
… Within natural language processing, computa- tional literary analysis has mostly targeted works of fiction such as novels, plays, and screenplays … Nar- rative structure, also referred to as a storyline or plotline, describes the framework of how one tells a story and has its origins to …

Enhancing topic-to-essay generation with external commonsense knowledge
P Yang, L Li, F Luo, T Liu, X Sun – … of the 57th Annual Meeting of the …, 2019 – aclweb.org
Page 1. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 2002–2012 Florence, Italy, July 28 – August 2, 2019. c 2019 Association for Computational Linguistics 2002 Enhancing …

On graph mining with deep learning: introducing model R for link weight prediction
Y Hou, LB Holder – … of Artificial Intelligence and Soft Computing …, 2019 – content.sciendo.com
… Abstract Deep learning has been successful in various domains including image recognition, speech recognition and natural language processing … natural language processing word co-occurrences of words in a context 1D array (ie, word vector) …

Recommender systems, cultural heritage applications, and the way forward
G Pavlidis – Journal of Cultural Heritage, 2019 – Elsevier
… forward. Previous article in issue; Next article in issue. Keywords. Recommender system. Recommendation. Cultural heritage. Museum guide. Machine learning. Artificial intelligence. 1. Introduction. Recommendation techniques …

What is deemed computationally creative?
S Agrawal, A Sankaran, A Laha… – IBM Journal of …, 2019 – ieeexplore.ieee.org
… Computationally, the primary aim of artificial intelligence (AI) is to understand and reproduce the capabilities of human intelligence in a machine … different a particular movie is from the movies preceding it in terms of its three most basic components: the storyline, visualizations of …

From digital asset management to audience: Bringing content intelligence into the realm of business impact
R Minkarah – Journal of Digital Media Management, 2019 – ingentaconnect.com
… But while terms like ‘artificial intelligence’ and ‘machine learning’ have begun to gain large … is in the audio file, where transcription prepares human speech for natural language processing … like optical character recognition (OCR) and talent recognition, to storyline, mood, themes …

Information Retrieval Chatbots Based on Conceptual Models
T Makhalova, D Ilvovsky, B Galitsky – International Conference on …, 2019 – Springer
… However, building intelligent conversational agents remains a major unsolved problem in artificial intelligence research … is given in Algorithm 1. For a given user query Q in natural language, we use … In: Proceedings of the First Workshop on Computing News Storylines, pp …

Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization
S Cho, L Lebanoff, H Foroosh, F Liu – arXiv preprint arXiv:1906.00072, 2019 – arxiv.org
… tailment relationship. The task thus should be dis- tinguished from similar tasks such as predicting natural language inference (Bowman et al., 2015; Williams et al., 2018) or semantic textual similar- ity (Cer et al., 2017). In this …

Using local knowledge graph construction to scale seq2seq models to multi-document inputs
A Fan, C Gardent, C Braud, A Bordes – arXiv preprint arXiv:1910.08435, 2019 – arxiv.org
… retrieved text portions. 1 Introduction Effective information synthesis is at the core of many Natural Language Processing applica- tions, such as open-domain question answering and multi-document summarization. In such tasks …

The framework for creating a psychological assessment tool based on interactive storytelling
M Prys, P Ró?ewski, M Ziegler – Procedia Computer Science, 2019 – Elsevier
… interesting studies have been carried out using social behavior analysis, natural language analysis or … at the level of Chapter, DM can interfere with the storyline to achieve … Journal of Artificial Intelligence Research, 30 457-500 3. Soujanya Poria, Alexandar Gelbukh, Basant …

ROBOT BASED INTERACTIVE GAME FOR TEACHING ARABIC SPELLING
G Alsebayel, J Berri – researchgate.net
… Page 3. International Journal of Artificial Intelligence & Applications (IJAIA) Vol.10, No.6, November 2019 17 … However, if we want to differentiate them, we would say that game design encompasses all the activities of concept creation, storylines, mechanics…etc …

Fine-grained temporal relation extraction
S Vashishtha, B Van Durme, AS White – arXiv preprint arXiv:1902.01390, 2019 – arxiv.org
Page 1. Fine-Grained Temporal Relation Extraction Siddharth Vashishtha University of Rochester Benjamin Van Durme Johns Hopkins University Aaron Steven White University of Rochester Abstract We present a novel semantic …

News Diversity and Recommendation Systems: Setting the Interdisciplinary Scene
F De Grove, K Van Damme, O De Clercq… – Privacy and Identity …, 2019 – books.google.com
… Automating the extraction of relevant dimensions, using techniques from the fields of computational linguistics and artificial intelligence, on the other … Cross-document event recognition and co-reference is key to moving the state of the artin natural language understanding and …

Opera-oriented character relations extraction for role interaction and behaviour Understanding: a deep learning approach
X Dai, X Zhao, P Jin, X Cai, H Zhang… – Behaviour & …, 2019 – Taylor & Francis
… roles. Meanwhile, relations among opera characters normally reflect the story background, and even the story clue, so a good grasp of character relations is also useful for audience to understand the opera’s storyline clearly …

Computational Journalism
D Caswell, CW Anderson – The International Encyclopedia of …, 2019 – Wiley Online Library
… representations, especially named entities and other ele- ments of natural language processing … variants within computational journalism is occurring while references to “artificial intelligence” (AI) in … sought to automatically extract structured news events and storylines from large …

Error tolerant global search incorporated with deep learning algorithm to automatic Hindi text summarisation
J Anitha, PP Reddy, MSP Babu – International Journal of …, 2019 – inderscienceonline.com
… 2007. Her interests include data mining, artificial intelligence, and image processing … eigenvectors. Tests based on the official TDT4 corpus show that the produced temporal summaries offer the storylines of topics in a clear form …

Structured journalism and the semantic units of news
D Caswell – Digital Journalism, 2019 – Taylor & Francis
… London: Routledge.[Crossref] , [Google Scholar]) or artificial intelligence … Expectations, often by technologists, that a comprehensive theory of computational journalism will somehow emerge from statistical machine learning, such as natural language processing using deep …

Decomposing generalization: Models of generic, habitual, and episodic statements
V Govindarajan, BV Durme, AS White – Transactions of the Association …, 2019 – MIT Press
… generic (or characterizing) statements (3), on the other, have a long history in both the linguistics and artificial intelligence literatures (see … McCarthy, 1960,1980,1986; Minsky, 1974; Schank and Abelson, 1975; Hobbs et al., 1987; Reiter, 1987) and natural language text seems …

Predicting Learning in a Multi-component Serious Game
CM Forsyth, A Graesser, K Millis – Technology, Knowledge and Learning, 2019 – Springer
… 1995; Graesser and Person 1994; Person and Graesser 1999) and uses natural language pro- cessing algorithms … The storyline continues by stating that the scientist may or may not be an … 1993) as well as the artificial intelligence and machine learning research (Winston 1981) …

Generating Homeric Poetry with Deep Neural Networks
A Lamar, A Chambers – 2019 First International …, 2019 – mathcs.pugetsound.edu
… Penelope is a character who remains on the island of Ithaca for the duration of the storyline told by Homer’s … on Artificial Intelligence, 2016, pp … 2016 Conference on Empirical Methods in Natural Language Professing, Association for Computational Linguistics, 2016, pp 1183-1191 …

The campfire storytelling system–automatic creation and modification of a narrative
JR Hollister, AJ Gonzalez – … & Theoretical Artificial Intelligence, 2019 – Taylor & Francis
… a computer that can create the story could also permit possible alternative storylines to be … Campfire STS generates the events in the story along with their descriptive text in natural language … the UI displays the possible changes that the listener can make to the storyline …

Building Chatbot Thesaurus
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… iteration. To match natural language expressions between source and target domains, we use syntactic generalization, an operation that finds a set of maximal common sub-trees of the parse trees of these expressions. Thesaurus …

Answering Binary Causal Questions Through Large-Scale Text Mining: An Evaluation Using Cause-Effect Pairs from Human Experts.
O Hassanzadeh, D Bhattacharjya, M Feblowitz… – IJCAI, 2019 – pdfs.semanticscholar.org
… an approach capable of generating general- purpose predictions, relying on “storylines” (collections of … to cap- ture various ways X and Y can be represented in natural language … Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI …

AI in the media and creative industries
G Amato, M Behrmann, F Bimbot, B Caramiaux… – arXiv preprint arXiv …, 2019 – arxiv.org
… Emmanuel Vincent – Inria (fr) Page 3. Abstract Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in both research and industry …

Swarm intelligence techniques in recommender systems-A review of recent research
L Peška, TM Tashu, T Horváth – Swarm and Evolutionary Computation, 2019 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

This Is the Next Me: The Evolution of AI in the Whedonverses
LK Perdigao – Transmediating the Whedonverse (s), 2019 – Springer
… Jarvis is described as having “started out” as a “natural language UI,” an intelligent user … unforeseen results, the creation of “something new” within the Whedonverses, artificial intelligence that is … signify in cultural contexts.” 128 The Life Model Decoy (LMD) storyline of season …

News Diversity and Recommendation Systems: Setting the Interdisciplinary Scene
G Joris, C Colruyt, J Vermeulen, S Vercoutere… – … Summer School on …, 2019 – Springer
… Automating the extraction of relevant dimensions, using techniques from the fields of computational linguistics and artificial intelligence, on the other hand … document event recognition and co-reference is key to moving the state of the art in natural language understanding and …

Screenwriting for new film mediums: Conceptualizing visual models for interactive storytelling
G Ogle – Journal of Screenwriting, 2019 – ingentaconnect.com
… Although looking towards the crea- tion of new technologies and new ways to interact (like natural language), he urges authors to … Multiple storylines Intersections Model … of the main story has been viewed, and the viewer returns ahead of the next scene in the main storyline …

The semantics of evaluational adjectives: Perspectives from Natural Semantic Metalanguage and Appraisal
C Goddard, M Taboada, R Trnavac – Functions of Language, 2019 – jbe-platform.com
Abstract We apply the Natural Semantic Metalanguage (NSM) approach (Goddard & Wierzbicka 2014) to the lexical-semantic analysis of English evaluational adjectives and compare the results with the picture developed in the Appraisal Framework (Martin & White 2005). The analysis …

Storyboarding of recipes: grounded contextual generation
KR Chandu, E Nyberg, A Black – 2019 – openreview.net
… Yao et al. (2018) experimented with static and dynamic schema to realize the entire storyline before generating … In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pp … In Thirty-Second AAAI Conference on Artificial Intelligence, 2018 …

Consideration of Fundamental Methods and Principles for Human-Computer Co-Creation of Narratives
T Akimoto, T Ogata – Post-Narratology Through Computational and …, 2019 – igi-global.com
… The second subsection discusses the significance of narrative and narrativity for artificial intelligence (AI) and informatics … V3 window (a natural language text and diagram of the structure) of narrative3507 … This way, many scenarios were created that have unique storylines …

Progressive attention memory network for movie story question answering
J Kim, M Ma, K Kim, S Kim… – Proceedings of the IEEE …, 2019 – openaccess.thecvf.com
… This paper considers movie story QA [15, 18, 21, 26, 29] that aims at a joint understanding of vision and language by answering questions about movie contents and storyline af- ter observing temporally-aligned video and subtitle. Movie …

Identifying Therapist and Client Personae for Therapeutic Alliance Estimation.
VR Martinez, N Flemotomos, V Ardulov… – …, 2019 – researchgate.net
… on the client’s dreams, values, goals and skills [1]. These storylines uncover the … Literary Characters,” in Proceedings of the Thirthy-Third AAAI Confer- ence on Artificial Intelligence … analysis,” in Proceedings of the 2013 Workshop on Biomedical Natural Language Processing …

Artificial Consciousness and Synthetic Souls
JL Gittinger – Personhood in Science Fiction, 2019 – Springer
… This is furthered by another storyline on Caprica, that of Sister Clarice, the head mistress of … It is clear that the arrival of true artificial intelligence will present a number of practical … Alex states “Tau’s a level two, fully sentient AI console with natural language processing, transitory …

Generating effective test cases for self-driving cars from police reports
A Gambi, T Huynh, G Fraser – Proceedings of the 2019 27th ACM Joint …, 2019 – dl.acm.org
… Therefore, AC3R combines Natural Language Processing (NLP) techniques with a domain-specific ontology for extracting the relevant information from the police … The top level provides the fundamental dichotomy between environment_property and car crashes storyline …

Processing Use Case Scenarios and Text in a Formal Style as Inputs for TFM-based Transformations
E Nazaruka – Balt. J. Mod. Comput, 2019 – bjmc.lu.lv
… Preconditions PreCond and postconditions PostCond can be expressed using multiple natural language constructs; therefore, in prose they … analysis of cause-effect relations have their origin in psycholinguistics, linguistics, psychology and artificial intelligence (Waldmann and …

Systems thinking for systems making: Joining systems of thought and action
JL Henshaw – Systemic Practice and Action Research, 2019 – Springer
… 1 the main option left to them is to communicate using whatever natural language they may have in common, depending on how … for more recently emerging paradigms of systems science cultures such as robotics, neural networks, artificial intelligence, social networks, and high …

Creating Weather Narratives
A Reis, M Liberato, H Paredes, P Martins… – … Conference on Human …, 2019 – Springer
… The Natural Language Generation (NGL) is included in the artificial intelligence (IA) research field, as a … in task 2. This component will be implemented as a simple Natural Language Generator (NLG), to be … It provides a didactic storyline that can be used in teaching or science …

Extracting dialogical explanations for review aggregations with argumentative dialogical agents
O Cocarascu, A Rago, F Toni – 2019 – spiral.imperial.ac.uk
… We mine RAs from snippets using Natural Language Processing (NLP) methods, namely Argument Mining and Sentiment Analysis … fD ) = {director}; G(fA) = {actin?,cast,portrayal,per f ormance}; G(fW )={writer,writin?, screenplay,screenwriter,screenwritin?,storyline,script,character …

Atm: Adversarial-neural topic model
R Wang, D Zhou, Y He – Information Processing & Management, 2019 – Elsevier
… Keywords. Generative adversarial net. Neural-based topic model. Open domain event extraction. Topic modeling. 1. Introduction. Topic models (Blei, 2012, Chen, 2017) underpin many successful applications within the field of Natural Language Processing (NLP) …

CDMF: a deep learning model based on convolutional and dense-layer matrix factorization for context-aware recommendation
M Gan, Y Ma, K Xiao – 2019 – aisel.aisnet.org
… To achieve this, we resort to a widely used natural language processing method Word2Vec [36 … Description Summary, storyline Four 12-year-old girls grow up together during an eventful … genres, actors (Table 1). Description documents such as summaries and storylines of movie …

DIGILIENCE 2019 Agenda and Abstracts
SA Shaikh – Leadership, 2019 – isij.eu
… Georgios Chatzichristos, ENISA, Putting AI into the EU Cyber Crisis Collaboration Artificial Intelligence (AI) is … It is based on the Natural Language Pro- cessing and more specifically uses text … The authors present the list of selected scenarios, storylines, and use cases, that are …

T-CVAE: Transformer-Based Conditioned Variational Autoencoder for Story Completion.
T Wang, X Wan – IJCAI, 2019 – 184pc128.csie.ntnu.edu.tw
… It is a big challenge in machine com- prehension and natural language generation, related to … Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) … These models generate stories based on skeleton [Xu et al., 2018], storyline [Yao et …

Generation of Memes to Engage Audience in Social Media
A Kurochkin, K Bokhan – Advances in Data Mining, Machine Learning …, 2019 – ceur-ws.org
… caption from input text (comments) can be ap- proached as a task to produce a short story based on the tags, which set the storyline … In: 5th International Confer- ence on Natural Language Processing (2008) 16 … In: 28th AAAI Conference on Artificial Intelligence, 3118–3119 …

Beyond dyadic interactions: considering chatbots as community members
J Seering, M Luria, G Kaufman, J Hammer – Proceedings of the 2019 …, 2019 – dl.acm.org
… chatbots using the insights of this work. 2 A BRIEF HISTORY OF CHATBOT RESEARCH Performativity in modern chatbots draws from the early tra- dition of research in artificial intelligence. ELIZA, one of the first chatbots, was …

A topological data analysis approach to video summarization
CS Hu, MC Yeh – 2019 IEEE International Conference on Image …, 2019 – ieeexplore.ieee.org
… by 1- homologies connects them to some other frames according to the storyline structure, with … Zhu, “Persistent homology: An introduction and a new text representation for natural language pro- cessing,” in International Joint Conference on Artificial Intelligence, 2013 …

Sentiment based matrix factorization with reliability for recommendation
RP Shen, HR Zhang, H Yu, F Min – Expert Systems with Applications, 2019 – Elsevier
… defined in the dictionary. Based on the sentiment dictionary, the sentence “Great storyline, but slow plot progress,” “great,” and “slow” has the sentiment scores of +2 and ? 1 , respectively. Therefore, using Eq. (1), the total sentiment …

Humour-in-the-loop: Improvised Theatre with Interactive Machine Learning Systems
KW Mathewson – 2019 – era.library.ualberta.ca
… research ethics approval from the University of Alberta Research Ethics Board. Project Name: Developing an Engaging Artificial Intelligence for Conversa … AAAI Conference on Artificial Intelligence and Interactive Digital Entertain- ment (AIIDE 2017) …

Author-Driven Approaches to Computational Narrative Design for Games
DJ Tree, A Malizia – International Conference on Human-Computer …, 2019 – Springer
… As a subfield of Artificial intelligence, Computational Narrative aims to imbue computational … Story analysis combines techniques in Natural Language Translation, Sentiment analysis and applies … conclusion that the system has successfully generated a storyline which required a …

Council of Coaches
B Bedsted, A Pease, C Pelachaud, VT Salcedo… – 2019 – research.utwente.nl
… a discussion about a personal issue without bearing on real-time natural language understanding … a “Hollywood writer” to guide the development by creating a storyline and script … Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture …

Fiction and Video Games: Towards a Ludonarrative Model
H Nivala – 2019 – jultika.oulu.fi
… even on an ordinary monitor, as well. That will, however, be difficult before artificial intelligence is … eventually. Some attempts have been made at games utilising AI to respond to natural language, like Façade, (2005) but these are rare still …

Artificial you: AI and the future of your mind
S Schneider – 2019 – books.google.com
… But artificial intelligence (AI) has opened up a vast design space, offering new materials and modes of operation, as well as novel ways to explore the space at a rate much faster than biological evolution. I call this exciting new enterprise mind design …

A Language Invariant Neural Method for TimeML Event Detection
S Prabhu, P Goel, A Debnath, M Shrivastava – researchgate.net
… is applied over the Frobenius inner product of the filter and the embedding value as A·B = Tr(ABT ) for any two matrices A and B. We use max-pooling over the output embedding (instead of mean-pooling as it better incorporates the nature of natural language sequences (Xiang …

Multi-lingual Event Identification in Disaster Domain
Z Ahmad, D Varshney, A Ekbal, P Bhattacharyya – iitp.ac.in
… Processing. pp. 72–77 (2015) 3. Cao, K., Li, X., Grishman, R.: Improving event detection with dependency reg- ularization. In: Proceedings of the International Conference Recent Advances in Natural Language Processing. pp. 78 …

Adaptation and Pedagogy at the Collective Level: Recommendations for Adaptive Instructional Systems
B Goldberg – International Conference on Human-Computer …, 2019 – Springer
… on effective instructional methodologies that are captured in Artificial Intelligence (AI) modeling … These mechanisms are designed to impact scenario storylines and force objective … mechanisms exist (either automated or human-informed) for natural language and communication …

Will to Truth and Gender Studies
DY Snitko, OP Varshavskyi – 2019 – eadnurt.diit.edu.ua
… plot, it is widely discussed in scientific journalism (Melchior, 2018), we just briefly introduce its storyline … in favour of ethical, legal and political themes; correcting of the natural language depending on … Cyborgs, robots, artificial intelligence and the futures of gender: A case study …

Review and Implementation of Self-Help and Automated Tools in Mental Health Care
S Chan, L Li, J Torous, D Gratzer… – Psychiatric …, 2019 – psych.theclinics.com
… These technologies include interactive media, online courses, artificial intelligence–powered chatbots, voice assistants, and video games … These technologies include interactive media, online courses, artificial intelligence–powered chatbots, voice assistants, and video games …

Semantic neural machine translation using AMR
L Song, D Gildea, Y Zhang, Z Wang, J Su – Transactions of the …, 2019 – MIT Press
Create a new account. Email. Returning user. Can’t sign in? Forgot your password? Enter your email address below and we will send you the reset instructions. Email. Cancel. If the address matches an existing account you will …

A survey on evaluation of summarization methods
L Ermakova, JV Cossu, J Mothe – Information Processing & Management, 2019 – Elsevier
… the storyline of an event (Jorge et al., 2018). Despite recent significant progress in the domains of information extraction and text mining, the problem of constructing consistent narratives has not yet been solved. New trends in the area of Natural Language Processing (NLP) and …

Leveraging syntactic parsing to improve event annotation matching
C Colruyt, O De Clercq, V Hoste – EMNLP 2019, 2019 – biblio.ugent.be
… Con- structing information networks using one single model. Methods on Natural Language Processing (EMNLP2014), pages 1846–1851 … In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, pages 5479–5486, Stockholm, Sweden …

Learning Dynamic Context Graphs for Predicting Social Events
S Deng, H Rangwala, Y Ning – Proceedings of the 25th ACM SIGKDD …, 2019 – dl.acm.org
… neighbors. For natural language processing tasks, GCN has been successfully applied in semantic role labeling [14] to encode syntactic structure of sentences, text classification [11, 22, 31], and event detection based on syntax [18] …

Induction and Reference of Entities in a Visual Story
RP Dong, KR Chandu, AW Black – arXiv preprint arXiv:1909.09699, 2019 – arxiv.org
… We come with it.” – Margaret Atwood Storytelling in the age of artificial intelligence is not sup- posed to be a built-in capability of humans alone … Yao et al. (2018) proposed a hierarchical generation framework in which given a topic, the model first plans a storyline, and then …

Designing and Developing Interactive Narratives for Collaborative Problem-Based Learning
BW Mott, RG Taylor, SY Lee, JP Rowe, A Saleh… – … on Interactive Digital …, 2019 – Springer
… stories such as conflict, compelling characters, plot-driven storylines, and crisis … Devising adaptive conversational agents that use natural language dialogue capabilities to provide … models of collaborative narrative generation that leverage artificial intelligence-based techniques …

Semantic Network Analysis Pipeline—Interactive Text Mining Framework for Exploration of Semantic Flows in Large Corpus of Text
M Cenek, R Bulkow, E Pak, L Oyster, B Ching… – Applied Sciences, 2019 – mdpi.com
… The modular work-flow pipeline processes text using natural language processing tools, statistical content narrowing, creates semantic networks from lexical token chaining, performs social network analysis of token networks and creates a 3D visualization of the semantic …

Behavioral prediction using data-scientific approaches: a case study in public speaking
MI Tanveer – 2019 – search.proquest.com
… xii. Abstract. Machine learning, as a branch of Artificial intelligence, has now started to contribute … The robot does not incorporate any. natural language understanding component … fictions, there has been some progress in extracting storyline trajectories from sentimental …

Unsupervised cluster analyses of character networks in fiction: Community structure and centrality
RHG Chen, CC Chen, CM Chen – Knowledge-Based Systems, 2019 – Elsevier
… literary analysis and modeling, for instance, may facilitate the examination of hypotheses by providing concrete evidence through a more efficient and extensive means of reading [4]. High-level “distant readings” of texts facilitated by natural language processing, machine …

Fake Physics
A May – Springer
… Readers can look forward to a broad range of topics, as intriguing as they are important. Here just a few by way of illustration: • Time travel, superluminal travel, wormholes, teleportation • Extraterrestrial intelligence and alien civilizations • Artificial intelligence, planetary brains …

Designing and Developing Interactive Narratives for Collaborative Problem-Based Learning
JP Rowe, A Saleh, KD Glazewski… – … on Interactive Digital …, 2019 – books.google.com
… stories such as conflict, compelling characters, plot-driven storylines, and crisis … Devising adaptive conversational agents that use natural language dialogue capabilities to pro … models of collaborative narrative generation that leverage artificial intelligence-based techniques …

Task-oriented Visual Understanding for Scenes and Events
S Qi – 2019 – search.proquest.com
… In particular, inspired by natural language modeling, I represent the tasks by stochastic context-free grammars, which are natural choices to capture the semantics of tasks, but traditional grammar parsers (eg., Earley parser) only take symbolic sentences as inputs …

From crowdsourcing to crowdmining: using implicit human intelligence for better understanding of crowdsourced data
B Guo, H Chen, Y Liu, C Chen, Q Han, Z Yu – World Wide Web, 2019 – Springer
… Machine intelligence (MI) is the intelligence exhibited by machines [33], ie, the so-called artificial intelligence. For data-centric crowdsourcing, the approaches used mainly include image recognition, natural language processing, statistical learning, and reasoning …

Insight from scientific study in logistics using text mining
J Hong, R Tamakloe, G Lee… – Transportation research …, 2019 – journals.sagepub.com
Big text data show trends from past logistics research and define freight flow and socio-economic relationships in the global logistics network. This relationship plays an important role in predict…

Moviescope: Large-scale analysis of movies using multiple modalities
P Cascante-Bonilla, K Sitaraman, M Luo… – arXiv preprint arXiv …, 2019 – arxiv.org
… Unlike photography, and short videos, movies contain a storyline that is deliberately complex and intricate in order to en- gage its audience … For movies that were not available in this dataset, we scrape the IMDb page for the movie to look for its corresponding storyline …

Identifying gameplay videos that exhibit bugs in computer games
D Lin, CP Bezemer, AE Hassan – Empirical Software Engineering, 2019 – Springer
… We removed the stop words from the text fields in the metadata using the stop word list provided by the Natural Language Toolkit (NLTK) (NLTK Project 2017). The NLTK provides a collection of tools that can be used to preprocess natural language data. 2. Stemming …

Catch me if you can—Detecting fraudulent online reviews of doctors using deep learning
A Shukla, W Wang, GG Gao… – Ritu, Catch Me If You Can …, 2019 – papers.ssrn.com
… based in India. We find that our algorithm performs significantly better than traditional Natural Language Processing (NLP) and machine learning algorithms … some underlying patterns (for instance, some of them follow a storyline). We present examples of these …

Investigating the transferring capability of capsule networks for text classification
M Yang, W Zhao, L Chen, Q Qu, Z Zhao, Y Shen – Neural Networks, 2019 – Elsevier
… classification. 1. Introduction. Text classification is a fundamental problem in natural language processing (NLP) … viewpoints. This part-whole relationship is still subsistent in natural language, which is called semantic compositionality …

Fake Physics: Spoofs, Hoaxes and Fictitious Science
A May – 2019 – books.google.com
… Here just a few by way of illustration: • Time travel, superluminal travel, wormholes, teleportation • Extraterrestrial intelligence and alien civilizations • Artificial intelligence, planetary brains, the universe as a computer, simu- lated worlds • Non-anthropocentric viewpoints …

On detecting business event from the headlines and leads of massive online news articles
Y Qian, X Deng, Q Ye, B Ma, H Yuan – Information Processing & …, 2019 – Elsevier
… categorization. To address this problem, in the literature of natural language processing (NLP), there have been significant efforts to develop topic models for detecting events from online news articles (Sprugnoli & Tonelli, 2017) …

Utility Learning, Non-Markovian Planning, and Task-Oriented Programming Language
N Shukla – 2019 – escholarship.org
… In sub- mission: Artificial Intelligence … In a perfect system, a human demonstrator can teach a robot a new task by using natural language and physical gestures … The And-Or data structure has also been used in learning a visually grounded storyline model from labeled videos …

MMGCN: Multi-modal graph convolution network for personalized recommendation of micro-video
Y Wei, X Wang, L Nie, X He, R Hong… – Proceedings of the 27th …, 2019 – dl.acm.org
Page 1. MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video Yinwei Wei Shandong University weiyinwei@hotmail. com Xiang Wang§ National University of Singapore xiangwang@u.nus.edu …

Storytelling Research of Virtual Image Based on User Experience
J Li, L Zou – International Conference on Human-Computer …, 2019 – Springer
… (5) From the user interview, many users hope to further expand the storyline and perfect the story of … can be adopted, at the same time, using speech recognition, graphic and image recognition, natural language processing, deep learning, artificial intelligence and other …

A machine learning-based FinTech cyber threat attribution framework using high-level indicators of compromise
U Noor, Z Anwar, T Amjad, KKR Choo – Future Generation Computer …, 2019 – Elsevier
… Thus, in this paper we propose a framework to automate cyber threat attribution. Specifically, we profile cyber threat actors (CTAs) based on their attack patterns extracted from CTI reports, using the distributional semantics technique of Natural Language Processing …

Deep learning for video game playing
N Justesen, P Bontrager, J Togelius… – IEEE Transactions on …, 2019 – ieeexplore.ieee.org
… form of interactive fiction where players are given descriptions and instructions in text, rather than graphics, and interact with the storyline through text … This is interesting for computers as it is much more akin to natural language, where you have to know what actions should exist …

NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline
A Rogers, G Smelkov, A Rumshisky – arXiv preprint arXiv:1908.11443, 2019 – arxiv.org
Page 1. NarrativeTime: Dense High-Speed Temporal Annotation on a Timeline Anna Rogers†, Gregory Smelkov‡, Anna Rumshisky†† Department of Computer Science University of Massachusetts Lowell Lowell, MA 01854 …

Multimodal deep representation learning for video classification
H Tian, Y Tao, S Pouyanfar, SC Chen, ML Shyu – World Wide Web, 2019 – Springer
… The uncertainty increases while the involved number of concepts also increases in a video. Therefore, it is a challenging task to summarize and perform reasoning about the storyline of the videos … In: Conference on Empirical Methods in Natural Language Processing, pp …

Imaginary scenarios: On the use and misuse of fiction
M Grishakova, R Gramigna, S Sorokin – Frontiers of Narrative Studies, 2019 – academia.edu
… It seems that everybody knows what “sce- nario” means in natural language … Zunshine 2006), branching storylines (for instance, in “complex films”, such as Kurosawa’s Rashomon), but multiple … in a long suspense, a series of ever-deepening flashbacks enter the main storyline …

Dense procedure captioning in narrated instructional videos
B Shi, L Ji, Y Liang, N Duan, P Chen, Z Niu… – Proceedings of the 57th …, 2019 – aclweb.org
… Graph-based clustering is also adopted to learn the semantic storyline of in- structional videos in (Sener et al., 2015). These works assume that ”one task” has the same pro- cedures. Different from previous works, we fo- cus on learning more complicated procedures for Page 3 …

Two Stages Song Subject Classification on Indonesian Song Based on Lyrics, Genre & Artist
RA Aziz, MA Bijaksana – 2019 7th International Conference …, 2019 – ieeexplore.ieee.org
… song categorization based on theme/main subject and storyline in searching … “Natural language processing of lyrics.” Proceedings of the 13th annual ACM international … of discriminant measures for performance evaluation.” Australasian joint conference on artificial intelligence …

Models as programs: the envisioned and principal key to true fifth generation programming
B Thalheim, H Jaakkola – 29th International Conference on …, 2019 – bernhard-thalheim.de
… programming. 1.2. The Storyline of This Paper The … thoughts. A model suite also explains the model and its intrinsic components in a natural language and is interspersed with snippets of representation and realisation models. This …

Visual to text: Survey of image and video captioning
S Li, Z Tao, K Li, Y Fu – IEEE Transactions on Emerging Topics …, 2019 – ieeexplore.ieee.org
… From the 188 perspective of artificial intelligence, bridging the semantic gap 189 is equivalent to addressing a visual symbol ground … useful for situated embodied 196 agents, such as Robots, when they have to fluidly communicate 197 using Natural Language regarding current …

Finding the Right Words
S Braun, K Starr – Journal of Audiovisual Translation, 2019 – jatjournal.org
… Duration 20 seconds – 3 minutes Limited duration story arcs should simplify sequence modelling Storyline Self-contained micro- narrative eg … TGIF consists of 100k short sequence animated images (GIFs) drawn from Tumblr and annotated with 120k natural language sentences …

Perfekt vs. Präteritum: The comparison of the use of the Perfekt and Präteritum by native German speakers in two translations of l’Étranger and the translation of verb …
SW van der Ben – 2019 – dspace.library.uu.nl
… Machine translation belongs to the field of computational linguistics, which is a sub-field of Artificial Intelligence … The software has to process and analyse the natural language … When the indication of time is not clear in written language, the reader has to form a storyline himself …

The executable data strategy: A guide to using data with purpose
J Lovett – Applied Marketing Analytics, 2019 – ingentaconnect.com
… learning data catalogs, enabling functionality such as machine learning recommendations, natural language querying, and … In other words, the world of machine learning and artificial intelligence is coming … at a glance to provide meaningful information and a storyline that people …

An analytical study of information extraction from unstructured and multidimensional big data
K Adnan, R Akbar – Journal of Big Data, 2019 – Springer
… NLP, several tasks like machine translation, question-answering system, information retrieval, information extraction and natural language understanding are … were used: SemEval-2010 task 8 with 10,717 annotated samples, Causal-TimeBank dataset, Event StoryLine dataset …

Asking the right questions about the psychology of human inquiry: Nine open challenges
A Coenen, JD Nelson, TM Gureckis – Psychonomic Bulletin & Review, 2019 – Springer
… However, once one considers modeling the rich and sophisticated set of questions people can ask using natural language, computational issues become a significant challenge. Although this section focuses on question asking …

EnglishConnect1: Creating Stories and Associated Language Learning Materials as Supplemental Online Learning Resources
S Gong – 2019 – scholarsarchive.byu.edu
… 5 In Tell Me a Story: A New Look at Real and Artificial Memory, RC Schank, a pioneer in artificial intelligence, postulated the centrality of story to human knowledge … EC1: Stories. The prototype for the unit was developed and presented in Storyline 3, a …

Regulating Bot Speech
M Lamo, R Calo – UCLA L. Rev., 2019 – HeinOnline
… Free Speech Rights and Artificial Intelligence, 110 Nw. U. L. REV … 21. Joseph Weizenbaum, ELIZA -A Computer Program for the Study of Natural Language Communication Between Man and Machine, 9 COMPUTATIONAL LINGUISTICs 26 (1966). 22 …

A Holistic Framework for Forecasting Transformative AI
R Gruetzemacher – Big Data and Cognitive Computing, 2019 – mdpi.com
… community that is working to measure progress and develop timelines for AI, with significant effort focusing on forecasting transformative AI or human-level artificial intelligence (HLAI) … Another way to think of qualitative and quantitative scenarios is as storylines and models …

Representing stories as interdependent dynamics of character activities and plots: A two-mode network relational event model
D Chao, T Kanno, K Furuta, C Lin – Digital Scholarship in the …, 2019 – academic.oup.com
… Typically, successful movies have compelling storylines, and the decisions made by movie producers to green-light proposals are primarily … applied natural language processing and machine learning techniques to more than 1,000 story text data and summarized the patterns of …

On Dynamic Topic Models for Mining Social Media
S Jaradat, M Matskin – … and Opportunities in Computational Social Network …, 2019 – Springer
… 4 For the purpose of this research, we have used an advanced classification service. We could have used some natural language processing tools such as TweetNLP 5 for preprocessing steps and enhancing the analysis results. Open image in new window Fig. 2. Fig. 2 …

Algorithmic justice: Algorithms and big data in criminal justice settings
A Završnik – European Journal of Criminology, 2019 – journals.sagepub.com
The article focuses on big data, algorithmic analytics and machine learning in criminal justice settings, where mathematics is offering a new language for understanding and responding to crime. It …

Assignment 4
L Johnson – bonesnap.com
… experience. By identifying these elements such as graphics sound storyline is important aspects it allows researchers to create a … On the track of Artificial Intelligence: Learning with Intelligent Personal Assistants … and Natural Language Processing (NLP) for learning. Within the …

A Fine-grained Sentiment Dataset for Norwegian
L Øvrelid, P Mæhlum, J Barnes, E Velldal – arXiv preprint arXiv …, 2019 – arxiv.org
… Handlingstrådene som gikk til utlandet led av dårlig dialog og en del overspill the-storyline that went abroad suffered from bad dialog and a part over-play Standard Negative … ‘The storyline that stretches abroad suffered from bad dialog and exaggerated acting’). General …

Economics as Moral Exchange: James Buchanan Meets Martin Buber
TJ Brough, RT Simmons – broughtj.github.io
Page 1. Economics as Moral Exchange: James Buchanan Meets Martin Buber Tyler J. Brough Utah State University Randy T. Simmons Utah State University In this article, we examine the methodological writings of James M …

Creation and evaluation of datasets for distributional semantics tasks in the digital humanities domain
G Wohlgenannt, A Barinova, D Ilvovsky… – arXiv preprint arXiv …, 2019 – arxiv.org
… We relate our work to two trends in Natural Language Processing (NLP): Firstly, fantasy books recently became a popular subject of research in the … novels as source for analysis in NLP: i) such books often have a linear timeline suitable for time- line and storyline extraction [25 …

Game postmortems vs. developer Reddit AMAs: computational analysis of developer communication
C Lu, J Peltonen, T Nummenmaa – … on the Foundations of Digital Games, 2019 – dl.acm.org
… on content creation or player experience such as Music, Storyline and Design … In Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference (Proceedings … Proceedings of the conference on empirical methods in natural language processing …

CrowdStart: Warming up cold-start items using crowdsourcing
DG Hong, YC Lee, J Lee, SW Kim – Expert Systems with Applications, 2019 – Elsevier
… movies compared to other neighbors by considering general features, eg, the heroine, characters in the original comic, and storyline of “Wonder … Chang, Harper, and Terveen (2016) exploited crowdsourcing to obtain natural language explanations for recommendation results …

HUMAN ACTIVITY RECOGNITION USING ACCELEROMETER DATA WITH MULTI CLASS SVM
AM Nair – pdfs.semanticscholar.org
… Machine learning is an application of artificial intelligence … For speech recognition, computer vision, natural language processing, medical outcomes analysis, robot control, computational biology, etc., machine learning is the preferred approach …

Visual semantic information pursuit: A survey
D Liu, M Bober, J Kittler – IEEE Transactions on Pattern …, 2019 – ieeexplore.ieee.org
Page 1. 0162-8828 (c) 2019 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

1 Definition
ML Ryan – lhn.uni-hamburg.de
… storyline. Whereas ordinary print narratives are nomadic texts that can be taken anywhere … Mental Spaces: Aspects of Meaning Construction in Natural Language. Cambridge: MIT P … Ryan, Marie-Laure (1991). Possible Worlds, Artificial Intelligence and Narrative Theory …

The Impostor: Exploring narrative game design for learning Korean as a foreign language
T Engström – 2019 – aaltodoc.aalto.fi
Page 1. 1 Exploring narrative game design for learning Korean as a foreign language Master’s Thesis Tom Engström The imposTor Page 2. 2 ! Aalto-yliopisto, PL 11000, 00076 AALTO www.aalto.fi Taiteen maisterin opinnäytteen tiivistelmä …

Video summarisation by deep visual and categorical diversity
P Atencio, ST German, JW Branch, C Delrieux – IET Computer Vision, 2019 – IET
… The first approximation requires natural language processing techniques to transform an arbitrary sentence into a manageable structure … 2.1 Visual representation As mentioned in [ 29 ], using the right set of features, almost any artificial intelligence problem can be solved …

Using the engagement profile to design an engaging robotic teaching assistant for students
M Cooney, W Leister – Robotics, 2019 – mdpi.com
… Furthermore, a study carried out with university students found that the physical presence of a robot tutor facilitated learning outside the classroom [8]. Outside of robotics, an artificial intelligence was used for an online course to answer frequently asked questions, which worked …

Narrative Text Generation via Latent Embedding from Visual Stories
??? – 2019 – s-space.snu.ac.kr
… From the philosophy of end-to-end training, we can describe it using natural language, which is human-readable … Ha et al., 2015; Kim et al., 2017): (1) omnibus style, which each episode has simple and explicit storyline in short, (2) narrative order mostly using fabula …

Villanelle: Towards Authorable Autonomous Characters in Interactive Narrative.
O Iqbal – 2019 – repository.lib.ncsu.edu
… The extent to which the user is able to change the storyline can vary in different types of interactive narrative … 2.2 Existing tools Inform7 is a rules-based, natural language style scripting framework that allows one to craft quality based narratives [Ree10] …

Prediction model for drinking water network failures
VL Sanchez, D Coppola – webthesis.biblio.polito.it
… complex SQL (Structured Query Language). We could also include data visualization, artificial intelligence, natural language processing, and database capabilities that support analytics. In other words, with advanced analytics …

Social Media in Human–Robot Interaction
F Zeller, DH Smith, JA Duong, A Mager – International Journal of Social …, 2019 – Springer
… Other critical voices relate to robotics and Artificial Intelligence, warning of increas- ing dependence on … services to compliment the main social media accounts with images, videos and storylines … sciences [41–44] and depend on a represen- tative natural language corpus as …

Big Data in the News Media
MC Paganoni – Framing Big Data, 2019 – Springer
… high frequency of use (both as a verb and a noun) is a significant clue that alludes to the human intentionalities on which big data analytics ultimately relies (Portmess and Tower 2015), despite more radical claims that see machine learning and artificial intelligence as being …

Designing an Engaging Robotic Teaching Assistant for Adults Using the Engagement Profile
M Cooney, W Leister – 2019 – preprints.org
… Furthermore, a study carried out with university students found that the physical presence of a robot tutor facilitated learning outside the classroom [8]. Outside of robotics, an artificial intelligence was used for an online course to answer frequently asked questions, which worked …

Scalable Understanding of Multilingual MediA (SUMMA)
RU Germann, CH BBC – 2019 – summa-project.eu
… extraction) • 10,000 tokens per second for semantic analytics (entity linking and natural language under- standing tasks) … extraction) • 10,000 tokens per second for semantic analytics (entity linking and natural language under- standing tasks) …

Structured Stochastic Recurrent Network for Linguistic Video Prediction
S Yang, L Li, S Wang, D Meng, Q Huang… – Proceedings of the 27th …, 2019 – dl.acm.org
… a new task of Linguistic Video Prediction (LVP), which predicts the forthcoming events based on past video content and describes them using natural language … such as retrieval [28, 29, 34] and tagging [30], LVP bridges two bodies of works: predicting the video-storyline and de …

Large-Scale Video Understanding with Limited Training Labels
J Song, X Zhao, L Gao, L Cao – Big Data Analytics for Large …, 2019 – books.google.com
… short video from a collection of Web videos to describe the storyline of an event. To advance research on animated GIF understanding, we collected a new dataset, Tumblr GIF (TGIF), with 100K animated GIFs from Tumblr and 120K natural language descriptions obtained via …

I have a different kind of brain’—a script-centric approach to interactive narratives in games
H Engström – Digital Creativity, 2019 – Taylor & Francis
… The complex artificial intelligence systems requires a high level of technical expertise (Koenitz 2011 … In Inform 7, content is created using a programming language designed to resemble natural language … A calendar series can be defined as ‘ … a coherent storyline including 24 …

Describing Foreign Language Conversational Practice by Secondary Learners Creating Project-based Recordings
DB Perkins – 2019 – search.proquest.com
Page 1. DESCRIBING FOREIGN LANGUAGE CONVERSATIONAL PRACTICE BY SECONDARY LEARNERS CREATING PROJECT-BASED RECORDINGS by David Bryant Perkins CARLA LANE, EdD, Faculty Mentor and Chair WENDY ZENDER, PhD, Committee Member …

A hybrid approach for identifying the structure of a Bayesian network model
L Huang, G Cai, H Yuan, J Chen – Expert Systems with Applications, 2019 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process
P Zheng, S Yuan, X Wu, Y Wu – arXiv preprint arXiv:1911.04620, 2019 – arxiv.org
Page 1. Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process Panpan Zheng,1 Shuhan Yuan,1 Xintao Wu,1 Yubao Wu2 1University of Arkansas, {pzheng,sy005, xintaowu}@uark.edu 2Georgia State University, ywu28@gsu.edu Abstract …

Beginning Silverlight 5 in C#; NET & J2EE Interoperability .NET 2.0 for Delphi Programmers .NET 3.5 CD Audio Player: Create a CD Audio Player in .NET 3.5 …
SQL Server, C Guide – cbtcampus.com
… Advancements in Distributed Computing and Internet Technologies: Trends and Issues Advances and Applications in Model-Driven Engineering Advances in Applied Artificial Intelligence Advances in Applied Self-Organizing Systems; Second Edition Advances in Banking …

Extraction and analysis of fictional character networks: A survey
V Labatut, X Bost – ACM Computing Surveys (CSUR), 2019 – dl.acm.org
… Third, a large number of works originate from the Artificial Intelligence domain … These works also consider character networks as models of the plot and take advantage of this to solve higher-level problems: role detection [52], genre classification [7, 102], storyline detection [117 …

The Simulation Hypothesis: An MIT Computer Scientist Shows Why AI, Quantum Physics, and Eastern Mystics All Agree We Are In A Video Game
R Virk – 2019 – books.google.com
… Science Fiction—How the Simulation Hypothesis Went Mainstream Quantum Physics and the Idea of a “Subjective Reality” Eastern Mysticism and the Western Afterlife Virtual Reality, Artificial Intelligence, and Simulated Consciousness Simulations, Computation, and Chaos …

Semantic concept spaces: Guided topic model refinement using word-embedding projections
M El-Assady, R Kehlbeck, C Collins… – … on Visualization and …, 2019 – ieeexplore.ieee.org
Page 1. Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections Mennatallah El-Assady1,2, Rebecca Kehlbeck1, Christopher Collins2, Daniel Keim1, and Oliver Deussen1 Fig. 1: Guided …

Towards a semantics representation framework for narrative images
X Li, Y Wu, X Wang, T Qian, L Hong – The Electronic Library, 2019 – emerald.com
… Example 5: The (simplified) storylines from multi-faceted events … (25:#StoryLine)?(20:#Event ^ 22:#Event) … Allen, JF (1981), “An interval-based representation of temporal knowledge”, International Joint Conferences on Artificial Intelligence, IJCAI Organization, Vol. 81, pp …

The ontology of drama
R Damiano, V Lombardo, A Pizzo – Applied Ontology, 2019 – content.iospress.com
… in an interdisciplinary way over a decade, Drammar abstracts from the media and languages by which drama is conveyed, providing a formal systematization of the core notions about drama that leverages the theories and models of agency in the tradition of Artificial Intelligence …

Narrative Junction: Revisiting Branching Narrative Design Approach for Role Playing Video Games from the Perspectives of Cognitive Linguistics
SFLA Purnomo – researchgate.net
… They emphasize their study on the importance of natural language processing in narratives and their branching designs to generate natural responses from the players, highlighting how presence and immersion are both constructed in the branching narratives and further …

Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions
Z Xiao, MX Zhou, VQ Liao, GJ Mark, C Chi… – ACM Transactions on …, 2019 – dl.acm.org
… Specifically, an artificial intelligence (AI)-powered chatbot can conduct a conversational survey … Moreover, it is the inherent functions of chatbots that interpret diverse user natural language input and handle complex conversations …

Augmenting Music Listening Experiences on Voice Assistants.
M Behrooz, S Mennicken, J Thom, R Kumar… – ISMIR, 2019 – pdfs.semanticscholar.org
… logical precedence rules, while our method utilizes edge weights and pathfinding to extract a preferred storyline … Each segue has a natural language generation (NLG) template result- ing in a “segue text” when … In Thirty- Second AAAI Conference on Artificial Intelligence, 2018 …

The future of the mind
S Schneider, M Coeckelbergh – schneiderwebsite.com
… In these storylines, humans are surrounded by sophisticated AIs, while themselves remaining unenhanced … the potential advantages of forming friendships, “Her”-style, with personalized artificial intelligence systems … are free to agree or disagree with the outcome of the storyline …

Topic modeling and text analysis for qualitative policy research
K Isoaho, D Gritsenko, E Mäkelä – Policy Studies Journal, 2019 – Wiley Online Library
… In addition, subjectivity is explicitly acknowledged in D&R methods. The discursive storyline, frame, or narrative story that emerges from a text analysis is always formulated by a researcher who has a specific question in mind and an understanding of the implicit context and b

A NEW PEOPLE AND THE CHOICES THEY WILL HAVE TO MAKE: HUMANE HUMAN-AI COHABITATION IN HBO’S WESTWORLD
M Broersma, T Jelfs – 2019 – strongfeet.nl
… natural language conversation between a human and a machine that is designed to generate human? like responses” (González 74) … rather have active roles in the storyline … artificial intelligence ends and (artificial) consciousness begins …

teaching Johnny to thwart phishing attacks
NAG Arachchilage, MA Hameed – Machine Learning for …, 2019 – books.google.com
… or famous tales or could also be aimed to build a storyline that associates … 169 Anomaly detection 2, 5, 10–13, 15, 23 AODV 258–274 artificial intelligence 255 artificial life … 352 Machine Learning for Computer and Cyber Security N Natural language processing 123, 124, 127 O …

Digital Storytelling 4e: A creator’s guide to interactive entertainment
CH Miller – 2019 – books.google.com
… Learning from Games Learning from Myths Learning from Aristotle Learning from Contemporary Storytellers Other Useful Old Tools The Storyline in Linear … Variables Assigning a Role and Point of View to the User Working with New Types of Characters and Artificial Intelligence …

8 Meaning in psycholinguistics
L Frazier – Semantics-Typology, Diachrony and Processing, 2019 – books.google.com
Page 274. Lyn Frazier 8 Meaning in psycholinguistics Lyn Frazier, Amherst, MA, USA 1. Introduction 2. Architectural issues and preliminaries 3. Processing quantifiers 4. Different types of DPs 5. Beyond DPs 6. Conclusions 7 …

The Fall of the Human Empire: Memoirs of a Robot
CE Bouée – 2019 – books.google.com
… The fear of seeing human intelligence overtaken by that of machines – a fear that is sometimes nurtured even by scientists such as Stephen Hawking, who saw artificial intelligence as a threat to the very existence of human beings, ‘biological machines too slow to resist the …

Character Centrality in Present-Day Dutch Literary Fiction
RJH Smeets, EP Sanders, APJ van den Bosch – 2019 – repository.ubn.ru.nl
… A character’s position in the story world is already predetermined by some basic structural features of a literary text. The mode in which a novel is narrated is commonly a first indicator of how important a character is in the storyline …

Attentive aspect modeling for review-aware recommendation
X Guan, Z Cheng, X He, Y Zhang, Z Zhu… – ACM Transactions on …, 2019 – dl.acm.org
… qkpeng@mail.xjtu.edu.cn; Z. Cheng (corresponding author), Qilu University of Technology (Shandong Academy of Sci- ences), Shandong Computer Science Center (National Supercomputer Center in Jinan), Shandong Artificial Intelligence Institute, 19 … (eg, “storyline” and “ …

The Social Mile-How (Psychosocial) ICT can Help to Promote Resocialization and to Overcome Prison
T Ertl, S Taugerbeck, M Esau, K Aal, P Tolmie… – Proceedings of the ACM …, 2019 – dl.acm.org
… Our project Prison AI 2.0 aims to modernize prisons by introducing artificial intelligence, sensors and … Prison Pal also runs on the cloud to operate Natural Language Processing (NLP) … which means that it can be activated at different intervals depending on storyline and personal …

Knowledge graph embedding models for automatic commonsense knowledge acquisition
IMS Alhussien – 2019 – dr.ntu.edu.sg
… use in the same situation. The ultimate goal of artificial intelligence (AI) is to build systems that can … ThoughtTreasure (Mueller, 1998) is a commonsense knowledge base with an archi- tecture for natural language understanding. Concepts in ThoughtTreasure has an …

Gaussian mixture embedding of multiple node roles in networks
Y Chen, J Pu, X Liu, X Zhang – World Wide Web, 2019 – Springer
… Meanwhile, advances in machine learning made techniques like using neural methods available for learning representations [6]. Inspired by the success of natural language processing (NLP) methods in representation learning, many recent meth- ods transfer word embedding …

An empirical study of game reviews on the Steam platform
D Lin, CP Bezemer, Y Zou, AE Hassan – Empirical Software Engineering, 2019 – Springer
… Second, we study how long players play a game before they post a review. This information is unique compared to mobile app reviews, and may provide interesting insights for researchers to help developers design the storyline and levels of a game …

Emotion Elicitation through Player-NPC Relationships in Narrative Games
SM George – sabingeorge.com
… It is not necessary for NPCs to be controlled by artificial intelligence. In most games, they are under some predefined state machines. In … Sometimes Player can be more attached with these NPCs beyond the storyline limits … ability to use natural language • persistent traits …

Authority and Power in Social Interaction: Methods and Analysis
N Bencherki, F Matte, F Cooren – 2019 – books.google.com
… Nan completed her PhD in sociology at University of California, Los Angeles. Her research focuses on talk and social institutions. She is actively Page 17. collaborating in the context of several disciplines such as communication, medicine and artificial intelligence …

A Content Management System for Chatbots
B Galitsky – Developing Enterprise Chatbots, 2019 – Springer
… Usually, a search engine is unable to store all of these expressions in its phrase thesaurus because they are not necessarily sufficiently frequent. SG is essential when these phrases are interpretable only when they occur within a certain natural language expression …

High Interest Low Readability Books And Motivation In Chinese Classrooms
R Zhang – 2019 – digitalcommons.hamline.edu
… reasons. First, reading is an effective alternative means of access for students to practice their English language competence due to lack a natural language environment. This is a very straightforward understanding since my students all live in Beijing, China. Second …

Prerequisite-related MOOC recommendation on learning path locating
Y Pang, N Wang, Y Zhang, Y Jin, W Ji… – Computational Social …, 2019 – Springer
… Yu used collaborative filtering to recommend in a game with storyline through other users … In: Proceedings of the 2015 conference on empirical methods in natural language processing. 2015 … In: Proceedings of the fourteenth conference on uncertainty in artificial intelligence …

Modelling perceptions on the evaluation of video summarization
K Abdalla, I Menezes, L Oliveira – Expert Systems with Applications, 2019 – Elsevier
… applications. A faster and cheaper way to collect video summaries is through annotating textual video summaries. In this case, users annotate what information is relevant using natural language, or keyword tags. The compilation …

Framing Big Data: A Linguistic and Discursive Approach
MC Paganoni – 2019 – books.google.com
… That phrases such as artificial intelligence, the internet of things and, lastly, big data should be com- ing to the fore in discourse can be ascribed to the hype cycle of tech- nological expectations and the widespread adoption of computational and digital practices in contemporary …

Framing Big Data
A Linguistic – Springer
… That phrases such as artificial intelligence, the internet of things and, lastly, big data should be com- ing to the fore in discourse can be ascribed to the hype cycle of tech- nological expectations and the widespread adoption of computational and digital practices in contemporary …

Consuming data sources to generate actionable items
M Vila Gómez – 2019 – upcommons.upc.edu
Page 1. Master in Informatics Engineering Consuming data sources to generate actionable items Master Thesis Report Author: Marc Vila Gómez Advisor: José Gorchs Morillas (Worldsensing) Tutor: Maria Ribera Sancho Samso (ESSI – UPC) January 31th, 2019 Page 2. Page 3 …

Analyzing evolving stories in news articles
RC Barranco, AP Boedihardjo, MS Hossain – International Journal of Data …, 2019 – Springer
… The framework runs through a palette of natural language processing (NLP) and other preprocessing tasks before it reaches its core objective function, which generates a storyline by finding and combining turning points that lead to the seed story …

The Stylistics of Love in Leigh Hunt’s Abou Ben Adhem
R Acim – liverpool.ac.uk
Page 1. Page 2. Rachid Acim (Ibn Zohr University) The Stylistics of Love in Leigh Hunt’s “Abou Ben Adhem” Love has been viewed in many ways. It crosses all borders – physical and symbolic ones. It is, to borrow Pope’s (1688-1744) terminology, a fire that naturally mounts …

Modelling perceptions on the evaluation of video summarization
IG Menezes, K Abdalla… – Expert Systems with …, 2019 – hull-repository.worktribe.com
… applications. A faster and cheaper way to collect video summaries is through 110 annotating textual video summaries. In this case, users annotate what infor- mation is relevant using natural language, or keyword tags. The compilation …

Computational Framework for Facilitating Intimate Dyadic Communication
D Utami – 2019 – repository.library.northeastern.edu
Page 1. Computational Framework for Facilitating Intimate Dyadic Communication A dissertation presented By Dina Utami to the Faculty of the Graduate School of the Khoury College of Computer Sciences in partial fulfillment of the requirements for the degree of …

The idea of the world: a multi-disciplinary argument for the mental nature of reality
B Kastrup – 2019 – books.google.com
… and Page 18. extensive closing commentary, to weave the original articles together in a coherent storyline. The choice to break up my argument into ten self- contained, independently published articles had three motivations …

Tools for Automated Reconstruction of Neural Circuits From Optical Microscopy Images
SL Wang – 2019 – search.proquest.com
… al., 2017). At present, ANNs are used in a wide variety of fields such as autonomous driving (Huval et al., 2015), face recognition (Parkhi et al., 2015), natural language processing (Mikolov et al., 2013), e-mail spam filtering (Guzella …

Curating Interest in Open Story Generation
M Behrooz – 2019 – escholarship.org
… Recurrent Neural Networks (RNNs) [113] or Language Models [138], have prompted the use of evaluation metrics borrowed from the related field of Natural Language Processing (NLP), such … I discuss the related research from Artificial Intelligence (AI), psychology, cognitive sci …

Shock of the New: The Challenge and Promise of Emerging Technologies
C Udell, G Woodill – 2019 – books.google.com
… As for relevancy in the next five years for learning and development, some of the most commonly discussed emerging technologies include 3-D printing, artificial intelligence (AI), augmented reality (AR), big data and analytics, cloud computing, the Internet of Things (IoT), mobile …

Reading Minds: A Cognitive-Digital Approach to the Study of Literature
M Azar – 2019 – refubium.fu-berlin.de
… The last chapter of this second part presents a panorama of current development in verbal artificial intelligence –which is a field that effectively combines cognitive and digital perspectives–, as well as an analysis of the interest of these inventions for understanding some aspects …

A Meta-Study and Content Analysis of Science Fiction in Computer Science Research
P Jordan – 2019 – scholarspace.manoa.hawaii.edu
… Abbreviation Paraphrase ACM Association for Computing Machinery ACS American Chemical Society AI Artificial Intelligence AR Augmented Reality BCI Brain-computer Interface C1 Candidate Set 1 C2 Candidate Set 2 C3 Candidate Set 3 C4 Candidate Set 4 …

White Noise from the White Goods? Privacy by Design for Ambient Domestic Computing
L Urquhart – Forthcoming in Edwards, L. Schafer, B. and Harbinja …, 2019 – papers.ssrn.com
… an automated porridge maker and tilting bed to hasten getting dressed.23 In the 2000’s, Tony Stark’s JARVIS natural language AI system in … Similarly, in critically acclaimed 2015 series Mr Robot, a Series 2 storyline follows the Anonymous esque hacker collective fSociety using …

Spjallmennis ráðgjafi-Íba
D Haberbusch, HR Steinarsdóttir, LOR Franca – 2019 – skemman.is
… 3.2.1.1.?Rasa NLU Rasa NLU is the library for ?natural language understanding (NLU). The term NLU consists of a subtopic of natural-language processing in artificial intelligence that deals with machine reading comprehension …

Complex Deep Learning and Evolutionary Computing Models in Computer Vision
L Zhang – downloads.hindawi.com
… Gaze Behavior of Human Reading” tackles gaze behavior of human reading as a word-based sequence labeling task in natural language processing … Finally, the storyline of the movie is generated as a summary by measuring the social strength of each character in the social …

Sentiment and Stance Visualization of Textual Data for Social Media
K Kucher – 2019 – diva-portal.org
… of the possible solutions to this problem lies within the area of compu- tational disciplines such as artificial intelligence (AI), data … to textual data are studied within the discipline of computational linguistics (CL), and, more specifically, the field of natural language processing (NLP …

Towards genre-specific frameworks for video summarisation: A survey
MU Sreeja, BC Kovoor – Journal of Visual Communication and Image …, 2019 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …

Virtual ambassadors, is this new trend changing the video advertising landscape? A preliminary analysis of the Renault Kadjar case
G Tanzi – 2019 – tesi.luiss.it
… Computer-generated imagery (CGI) technology is in continuous growth, together with natural language … specializes in “robotics, artificial intelligence and their applications to media businesses”, but the entire saga remains a master class in postmodern performance art …

An adaptive model for digital game based learning
L Cunningham – 2019 – cora.ucc.ie
… ADDIE Analysis, Design, Development, Implementation and Evaluation AI Artificial Intelligence AMDGBL Adaptive Model for Digital Game-Based Learning … MVC Model-View-Controller NLP Natural Language Processing NSGM Narrative Serious Game Mechanics …

The Googlemaginary Exploring utopian imaginaries of the GoogleHome technology in advertisements
MS Rostamkhan – 2019 – dspace.library.uu.nl
… of those who invented photographic processes” (Natale & Balbi, 2014, p.205). Another example they mentioned is artificial intelligence whose development was influenced by speculations about its future capacities (Natale & Balbi, 2014, p.205) …

Nurturing our humanity: How domination and partnership shape our brains, lives, and future
R Eisler, DP Fry – 2019 – books.google.com
… New technologies, from artificial intelligence to biological engineering, could have catastrophic results if guided by cultural values of greed, megalomania … In addition to these powerful normative narratives, other storylines claim that we have only gradually, and at best partially …

Linguistic Cues to Faking in Computer Mediated Employment Interviews
M Stuhlman – 2019 – etd.auburn.edu
… For example, Mya Systems, a San Francisco based company, has developed an artificial intelligence recruiter … While context is certainly important and could aid in the identification of themes of deception, the Natural Language Processing field of …

No public, no power? Analyzing the importance of public support for constitutional review with novel data and machine learning methods
S Sternberg – 2019 – madoc.bib.uni-mannheim.de
Page 1. No Public, No Power? Analyzing the Importance of Public Support for Constitutional Review with Novel Data and Machine Learning Methods Sebastian Sternberg Mannheim, 2019 Page 2. Page 3. No Public, No Power …

La2NiO4+ d, a Mixed Ionic-Electronic Conductor for Interface-Type Valence Change Memories
K Maas – 2019 – tel.archives-ouvertes.fr
Page 1. HAL Id: tel-02160021 https://tel.archives-ouvertes.fr/tel-02160021 Submitted on 19 Jun 2019 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not …

Computer Programming/Coding, Robotics and Literacy: A Qualitative Content Analysis Study
R Oneal – 2019 – shsu-ir.tdl.org
Page 1. COMPUTER PROGRAMMING/CODING, ROBOTICS AND LITERACY: A QUALITATIVE CONTENT ANALYSIS _____ Dissertation Presented to The Faculty of the Department Language, Literacy and Special Populations Sam Houston State University …

Procedural Storytelling in Game Design
TX Short, T Adams – 2019 – books.google.com
Page 1. / ºn \ Miliš Vellº) ºnºm illilº Bill Billbill imli) i? a ?imi?imº @ CRC Press Taylor & Francis Group Page 2. Procedural Storytelling in Game Design Page 3. This page intentionally left blank Page 4. Procedural Storytelling in Game Design Edited by Tanya X. Short Tarn Adams …

Narrative Virtual Reality Filmmaking: A Communication Conundrum
RJ Rome – 2019 – search.proquest.com
Page 1. Narrative Virtual Reality Filmmaking: A Communication Conundrum Presented to the Faculty Regent University School of Communication and the Arts In Partial Fulfillment of the Requirements for the Doctor of Philosophy In Communication by Roger J. Rome …

Alphabet: The Becoming of Google
M Lee – 2019 – books.google.com
… Quality among these trade books varies, but they tend to follow the “Great Men Histories” storyline, as I will lay … networks, and crowdsourcing systems will be processed by software in machine learning, statistics, social network analysis, and natural language processing (Mason …

Narrelations—Visualizing Narrative Levels and their Correlations with Temporal Phenomena.
H Schwan, J Jacke, R Kleymann… – DHQ: Digital …, 2019 – search.ebscohost.com
… al. 2015a]. While many existing techniques rely on basic linguistic categories, often automatically extracted through natural language processing (eg, [Vuillemot et al. 2009], [Muralidhara … Munroe 2009]. This visualization known as storylines has 1 …

Quantitative Intertextuality: Analyzing the Markers of Information Reuse
CW Forstall, WJ Scheirer – 2019 – Springer
… images. Using a variety of tools drawn from machine learning, natural language processing, and computer vision, you will learn to trace patterns of reuse across diverse sources for scholarly work and practical applications. The …

ELO2019: Electronic Literature Organization Conference & Media Arts Festival, Programme and Book of Abstracts
J O’Sullivan – 2019 – corasrv.ucc.ie
Page 1. UCC Library and UCC researchers have made this item openly available. Please let us know how this has helped you. Thanks! Title ELO2019: Electronic Literature Organization Conference & Media Arts Festival, Programme and Book of Abstracts …

American Utopia: Literature, Society, and the Human Use of Human Beings
P Swirski – 2019 – books.google.com
… liberty, equality, and fraternity. Ditching all such deus ex machina storylines, the more cynical—or realistic—view of human nature holds that it must be modified before any utopia can succeed. Murderous and invidious, even …

Graduate skills and game-based learning: using video games for employability in higher education
M Barr – 2019 – Springer
Page 1. Graduate Skills and Game-Based Learning Using Video Games for Employability in Higher Education DIGITAL EDUCATION AND LEARNING Matthew Barr Page 2. Digital Education and Learning Series Editors Michael …

Making Sense of Monuments: Narratives of Time, Movement, and Scale
MJ Kolb – 2019 – books.google.com
… As artificial intelligence expert Jerome Feldman (2006: 3) notes: “From the child’s internal perspective, all social and cultural interaction start as additional [cognitive] inputs that must somehow be understood and incorporated using existing knowledge.” What this means is that …

Automatic text summarization: What has been done and what has to be done
A Aries, WK Hidouci – arXiv preprint arXiv:1904.00688, 2019 – arxiv.org
… Most of them are considered as related topics to this field, since they are associated with natural language processing (NLP) domain … In the other hand, summarizing photos consists of creating a photo storyline with the assistance of videos …

Alternative Realisms: Subjectivity-production in Novels and Games
PA Lobo – 2019 – search.proquest.com
Page 1. ALTERNATIVE REALISMS: SUBJECTIVITY-PRODUCTION IN NOVELS AND GAMES by Phillip A. Lobo FACULTY OF THE USC GRADUATE SCHOOL Department of Comparative Literature Doctor of Philosophy University of Southern California May 2019 Page 2 …

Framework for Developing Interactive 360-Degree Video Adventure Games
FJR de Pinho – 2019 – repositorio-aberto.up.pt
… B Animus Liber Storyline 93 … array of skills and in many cases a high degree of specialization (for example within the software development com- ponent of game making there is a need for trained individuals in the field of graphics, systems, artificial intelligence, optimization and …

The Meddle of the Muddle: How many captains does it take to steer a story and whose course is it anyway?
M Macneill – 2019 – repository.falmouth.ac.uk
… a woman and her daughter’s sea voyage runs in parallel to the reconstruction of a glorious chapter in the history of European civilization, to the extent that the secondary, underlying storyline ultimately determines … Being natural language and biofeedback the most evident ones …

Visual tracking and analysis of web content disseminatiion
L Tso – 2019 – elib.uni-stuttgart.de
… to-day news, the authors focuses on visualizing the progression of movie storylines but can … attempted to show how the relationships between entities in the storyline change as … There are also many challenges which attempting to analyze natural language such as automatically …

Storytelling in Design: Defining, Designing, and Selling Multidevice Products
A Dahlström – 2019 – books.google.com
… VISUALIZING THE SHAPE OF YOUR PRODUCT EXPERIENCE Most of the world’s stories follow one of a few well-known storylines … 10: APPLYING MAIN PLOTS AND SUBPLOTS TO USER JOURNEYS AND FLOWS In traditional storytelling, more than one storyline often runs …

Vintage Games 2.0: An Insider Look at the Most Influential Games of All Time
M Barton – 2019 – books.google.com
Page 1. Page 2. Vintage Games 2.0 AN INSIDER LOOK AT THE MOST INFLUENTIAL GAMES OF ALL TIME Page 3. Taylor & Francis Taylor & Francis Group http://taylorandfrancis.com Page 4. Vintage Games AN INSIDER LOOK …

Learn Work Play: Twenty Years of ETC Stories
B King, S Rafson, I Curtis – 2019 – books.google.com
Page 1. 2|| LEARN WORK PLAY. TWENTY YEARS OF ETC STORIES EDITED BY SARAH RAFSON, LANA CURTIS, & BRAD KING Page 2. Learn Work Play Page 3. Page 4. LEARN WORK PLAY Twenty Years of ETCStories …

Personalization of Wearable-Based Exergames with Continuous Player Modeling
Z Zhao – 2019 – curve.carleton.ca
Page 1. Personalization of Wearable-Based Exergames with Continuous Player Modeling by Zhao Zhao A thesis submitted to the Faculty of Graduate and Postdoctoral Affairs in partial fulfillment of the requirements for the degree of Doctor of Philosophy in …

Data-driven Storytelling for Casual Users
Z Zhao – 2019 – search.proquest.com
… 78 5.9 (a) The infographic is partitioned into panels. (b) The infographic is partitioned into panels and captions are added to help address the storyline … Many of these approaches are auto- matic and based on machine learning and artificial intelligence …

On the Relationship Between Metaphor and Technology: a Comparative Study on Nanotechnology
P Kotlík – 2019 – dodo.is.cuni.cz
… These specialised corpora were compiled ad hoc from various media archives and, as a media reference to nanotechnology, should not be confused with non-specialised collections of natural language use, such as the British National Corpus which uses the acronym BNC …

EWBST tests for english
W Rauk – 2019 – clarin-pl.eu
… intelligence;artificial intelligence;DOEI;supposed;malign AI;artificial intelligence;selflessness; azymia;cellular;artificial intelligence AI;artificial … lily;antihero ALIR;Interahamwe;meritocracy;Niobe; Interahamwe;acquiring ALIR;Former Armed Forces;cento;storyline;chignon;Former …

Virtually Healthy: Using Virtual Ethnography to Survey Healthcare Seeking Practices of Transgender Individuals Online
R Arenas – 2019 – digitalscholarship.unlv.edu
Page 1. UNLV Theses, Dissertations, Professional Papers, and Capstones 5-1-2019 Virtually Healthy: Using Virtual Ethnography to Survey Healthcare Seeking Practices of Transgender Individuals Online Rogelio Arenas rarenas@alumni.emory.edu …

Blockchains, Smart Contracts, Decentralised Autonomous Organisations and the Law
D Kraus, T Obrist, O Hari – 2019 – books.google.com
Page 1. EDITED BY Daniel Kraus, Thierry Obrist and Olivier Hari BlockChains, Smart Contracts, Decentralised Autonomous Organisations and the Law Page 2. Blockchains, Smart Contracts, Decentralised Autonomous Organisations and the Law Page 3. Page 4 …

The Identities of Undergraduate Mathematics Peer Tutors within the Figured World of a Mathematics Learning Center
K Bjorkman – 2019 – escholarship.org
Page 1. UC San Diego UC San Diego Electronic Theses and Dissertations Title The Identities of Undergraduate Mathematics Peer Tutors within the Figured World of a Mathematics Learning Center Permalink https://escholarship.org/uc/item/8gt0r4ff Author Bjorkman, Kaitlin …