Notes:
Natural language understanding (NLU) is the ability of a computer system to process and understand human language as it is written or spoken. It involves analyzing and interpreting the meaning of text or speech and determining its intent and context.
NLU is related to storytelling in that it can be used to enable computers to understand and interpret stories written in natural language. For example, an NLU system could be used to analyze a story and extract information about the characters, events, and plot of the story. This information could then be used to generate a summary or analysis of the story, or to allow a computer to answer questions about the story. NLU technology is also being developed to enable computers to generate stories of their own, using natural language text as output.
There are several ways that character extraction from stories can be accomplished. One approach is to use natural language processing (NLP) techniques to analyze the text of a story and identify proper nouns or noun phrases that are likely to refer to characters. This can be done using techniques such as named entity recognition (NER), which is a subfield of NLP that focuses on identifying and extracting named entities from text.
Another approach is to use machine learning algorithms to learn from a dataset of stories that have been annotated with information about their characters. For example, a machine learning model could be trained on a dataset of stories with character names and descriptions, and then be able to identify and extract character information from new stories.
Other techniques that could be used for character extraction from stories include information extraction, which involves identifying and extracting specific pieces of information from text, and text summarization, which involves generating a summary of the main points or themes in a text.
There are several ways that plot extraction from stories can be accomplished. One approach is to use natural language processing (NLP) techniques to analyze the text of a story and identify the main events and actions that make up the plot. This can be done using techniques such as event extraction, which involves identifying and extracting events and relationships between events from text.
Another approach is to use machine learning algorithms to learn from a dataset of stories that have been annotated with information about their plots. For example, a machine learning model could be trained on a dataset of stories with plot summaries and then be able to identify and extract plot information from new stories.
Other techniques that could be used for plot extraction from stories include information extraction, which involves identifying and extracting specific pieces of information from text, and text summarization, which involves generating a summary of the main points or themes in a text.
References:
See also:
Aesop: A visual storytelling platform for conversational ai and common sense grounding
TJ Meo, C Kim, A Raghavan, A Tozzo… – AI …, 2019 – content.iospress.com
… Unlike narrow AI tasks, our system enables general reasoning using knowledge graphs to incorporate the outcome of multiple narrow AI components in vision and natural language understanding. In the visual storytelling use case, the dialog is between a director (content …
Semantic Storytelling: Towards Identifying Storylines in Large Amounts of Text Content.
G Rehm, K Zaczynska, J Moreno – Text2Story@ ECIR, 2019 – ceur-ws.org
… We are trying to pinpoint the key open questions in order to suggest a roadmap for Semantic Storytelling for the next years … While research on such technologies is making progress, the wider field of Natural Language Understanding and Language Technology still needs to fully …
Storytelling from structured data and knowledge graphs: An NLG perspective
A Mishra, A Laha, K Sankaranarayanan… – Proceedings of the 57th …, 2019 – aclweb.org
… 43 Storytelling from Structured Data and Knowledge Graphs An NLG Perspective … He has also given multiple talks in Cognitive NLP, and Natural Language Understanding and Generation. The full list of his publications and talks are available in his website …
Commonsense reasoning for natural language understanding: A survey of benchmarks, resources, and approaches
S Storks, Q Gao, JY Chai – arXiv preprint arXiv:1904.01172, 2019 – researchgate.net
Page 1. COMMONSENSE REASONING FOR NATURAL LANGUAGE UNDERSTANDING: ASURVEY Commonsense Reasoning for Natural Language Understanding … 2 Page 3. COMMONSENSE REASONING FOR NATURAL LANGUAGE UNDERSTANDING:ASURVEY …
Storytelling from Structured Data and Knowledge Graphs An NLG Perspective
AMALK Sankaranarayanan, PJS Krishnan – ACL 2019, 2019 – aclweb.org
… c 2019 Association for Computational Linguistics Storytelling from Structured Data and Knowledge Graphs An NLG Perspective Abhijit Mishra Anirban Laha Karthik … He has also given multiple talks in Cognitive NLP, and Natural Language Understanding and Generation …
Recent Trends in Natural Language Understanding for Procedural Knowledge
D Mujtaba, N Mahapatra – 2019 International Conference on …, 2019 – ieeexplore.ieee.org
… [3] R. Navigli, “Natural language understanding: Instructions for (present and future) use.” in IJCAI, 2018, pp. 5697–5702 … [23] T.-HK Huang, F. Ferraro, N. Mostafazadeh, I. Misra, A. Agrawal, J. Devlin, R. Girshick, X. He, P. Kohli, D. Batra et al., “Visual storytelling,” in Proceedings …
Clinical Tractor: A Framework for Automatic Natural Language Understanding of Clinical Practice Guidelines
DR Schlegel, K Gordon, C Gaudioso… – AMIA Annual …, 2019 – ncbi.nlm.nih.gov
… Natural language understanding is a subtopic of natural language processing in which the goal is to build a computer system which performs reading … the narrative of a guideline topic shift is generally avoided, and some discourse relations that arise in storytelling are eschewed …
The Book of Endless History: Authorial Use of GPT2 for Interactive Storytelling
J Austin – … Conference on Interactive Digital Storytelling, 2019 – Springer
… will inspire further research into the usage and authorial control of GPT2 and other deep learning architectures for storytelling … 1. Honnibal, M., Montani, I.: spaCy 2: natural language understanding with bloom embeddings, convolutional neural networks and incremental parsing …
Hang Out with the Language Assistant
J Oh, S Sah, J Kim, Y Kim, J Lee, W Lee… – 2019 International …, 2019 – dl.acm.org
… mechanism. The technology behind it uses a combination of natural language understanding, object detection, and hand pose detection. In addition, Hola also supports reading book in the form of storytelling for kids using OCR …
Coached conversational preference elicitation: A case study in understanding movie preferences
F Radlinski, K Balog, B Byrne, K Krishnamoorthi – 2019 – research.google
… It identi- fies challenges in natural language understanding of realistic preference statements, and provides a datasets for addressing them … USER I just like the storytelling, how deep some movies can get into, the characters, and pretty much like the creativity …
Trends in integration of vision and language research: A survey of tasks, datasets, and methods
A Mogadala, M Kalimuthu, D Klakow – arXiv preprint arXiv:1907.09358, 2019 – arxiv.org
… Visual Generation Storytelling Entailment … Given a non-linguistic information (eg, image or video), the goal is to generate a human-readable text snippet that describes the input. • The task of Visual Storytelling forms similar hypothesis as visual description gener- ation …
Young children’s reading and learning with conversational agents
Y Xu, M Warschauer – Extended Abstracts of the 2019 CHI Conference …, 2019 – dl.acm.org
… 3 DESIGN OF THE STORYTELLING CA Based on these communication and educational principles, we iteratively developed a storytelling CA that narrates a picture … The conversational agent was built upon Google’s Dialogflow Natural Language Understanding (NLU) engine …
Domain Authoring Assistant for Intelligent Virtual Agents
S Janghorbani, A Modi, J Buhmann… – arXiv preprint arXiv …, 2019 – arxiv.org
… KEYWORDS Intelligent Virtual Agents, Natural Language Understanding, Text Simplification, Planning Domain Acquisition, Domain Authoring ACM Reference Format: Sepehr … where the agents are used for creating virtual user experiences or for digital storytelling [44] …
A Model for Capturing Tacit Knowledge in Enterprises
Y Soliman, H Vanharanta – … Conference on Applied Human Factors and …, 2019 – Springer
… In an experiment conducted by Whyte and Classen [3] to confirm the usefulness of the storytelling practices in enterprises … Natural language understanding) – metaphorically for the ability to take actions based on the context or reuse this information or knowledge – human …
Text-to-picture tools, systems, and approaches: a survey
J Zakraoui, M Saleh, J Al Ja’am – Multimedia Tools and Applications, 2019 – Springer
… such as education, language learning, literacy development, summarization of news articles, storytelling, data visualization … overcoming profound technical challenges in integrating artificial intelligence techniques, including natural language understanding (NLU), knowledge …
Grammaticality in neural natural language generation
JTZ Wei – 2019 – johntzwei.github.io
… Evaluations that satisfy my three criteria may still be exciting as they are practical and leave room for the application of linguistic knowledge and natural language understanding technologies. This chapter will lay the groundwork for an evaluation method of …
Contextualized word embeddings enhanced event temporal relation extraction for story understanding
R Han, M Liang, B Alhafni, N Peng – arXiv preprint arXiv:1904.11942, 2019 – arxiv.org
… It is an important natural language understanding (NLU) task with broad applications to downstream tasks such as story understanding (Charniak, 1972 … Modeling event temporal relations is crucial for story/narrative understanding and storytelling, be- cause a story is typically …
Generating Biased Datasets for Neural Natural Language Processing
A Chan, Y Tay, YS Ong, A Zhang – 2019 – openreview.net
Page 1. Under review as a conference paper at ICLR 2020 GENERATING BIASED DATASETS FOR NEURAL NATURAL LANGUAGE PROCESSING Anonymous authors Paper under double-blind review ABSTRACT In a time …
A Dynamic Illustration Approach For Arabic Text
J Zakraoui, JM Al Jaam – 2019 IEEE 10th GCC Conference & …, 2019 – ieeexplore.ieee.org
… proposed such as KidsRoom [25], [26], [8] and CONFUCIUS [27], the latter proposed interactive multimodal storytelling system … The first problem is associated with natural language understanding, since these systems cannot capture the deep semantics embedded within the …
A Multimodal Interface for Virtual Character Animation Based on Live Performance and Natural Language Processing
F Lamberti, V Gatteschi, A Sanna… – International Journal of …, 2019 – Taylor & Francis
… Similar needs are expressed also in other contexts. For instance, computer-animated storytelling techniques that emerged over the last few years ask for simplified interfaces that can be managed also by unskilled users, like educators, children, etc …
Do Massively Pretrained Language Models Make Better Storytellers?
A See, A Pappu, R Saxena, A Yerukola… – arXiv preprint arXiv …, 2019 – arxiv.org
… the target task’s labeled dataset), these models achieve state-of- the-art performance across a variety of Natural Language Understanding benchmarks … choice of de- coding algorithm – this is especially true for open- ended text generation tasks such as storytelling and chitchat …
An Evaluation Of Learning Employing Natural Language Processing And Cognitive Load Assessment
M Tipari – 2019 – researchgate.net
Page 1. Technological University Dublin ARROW@TU Dublin Dissertations School of Computing 2019-1 An Evaluation Of Learning Employing Natural Language Processing And Cognitive Load Assessment Mrunal Tipari Dublin Institute of Technology …
Professor Elaine Gold LIN196 Language and Communication December 9, 2019
ASL Lawson – 2019 – academia.edu
… demonstrate the study and research of conversational natural language linguistics and implicatures through creative storytelling and script, generating contextual assumptions as is … Green, Georgia M. Pragmatics and Natural Language Understanding. Erlbaum, 1996 …
Proposal of a Hybrid Approach for Natural Language Generation and its Application to Human Language Technologies
C Barros – 2019 – rua.ua.es
… For the usefulness factor, the ratings were measured in the context of the usability of the sen- tences in storytelling, being the minimum value for sentences not usable in the context and the maximum value the opposite … NLU Natural Language Understanding …
The depth of interactivity in the interaction with multimedia content: the development of user-friendly application
N Al Said – Evolutionary Intelligence, 2019 – Springer
… Alexander B (2017) The new digital storytelling: creating narra- tives with new media-revised and updated edition. Abc-clio, Santa Barbara 17 … Williams T (2016) Architectural mechanisms for situated natural language understanding in uncertain and open worlds …
Building Language-Agnostic Grounded Language Learning Systems
C Kery, N Pillai, C Matuszek… – 2019 28th IEEE …, 2019 – ieeexplore.ieee.org
… same time, studying language learning and interaction with a physically situated agent offers a mechanism for advancing natural language understanding [23], [12] … X. He, D. Batra, CL Zitnick, D. Parikh, L. Vanderwende, M. Galley, and M. Mitchell, “Visual storytelling,” in NAACL …
KnowSemLM: A Knowledge Infused Semantic Language Model
H Peng, Q Ning, D Roth – Proceedings of the 23rd Conference on …, 2019 – aclweb.org
… 1 Introduction Natural language understanding requires a coher- ent understanding of a series of events or actions in a story. In story comprehension, we need to under- stand not only what events have appeared in text, but also what is likely to happen next …
Improving Arabic text to image mapping using a robust machine learning technique
J Zakraoui, S Elloumi, JM Alja’am, SB Yahia – IEEE Access, 2019 – ieeexplore.ieee.org
… original segments. Storytelling systems have also been proposed in many works [19], [20], [21], [22], [23], [24] and [25]. A recent multimedia system for Arabic stories based on conceptual graph matching, is proposed in [26]. Worth …
Understanding and Generating Multi-Sentence Texts
RK Kedziorski – 2019 – digital.lib.washington.edu
… 20 2 Related Work 23 2.1 Natural Language Understanding … Related Work This chapter discusses relevant background and related work. 2.1 Natural Language Understanding A great deal of work has been done in natural language understanding, but work that focuses on …
Movie Plot Analysis via Turning Point Identification
P Papalampidi, F Keller, M Lapata – arXiv preprint arXiv:1908.10328, 2019 – arxiv.org
Page 1. Movie Plot Analysis via Turning Point Identification Pinelopi Papalampidi Frank Keller Mirella Lapata Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street …
Paraphrase generation with latent bag of words
Y Fu, Y Feng, JP Cunningham – Advances in Neural Information …, 2019 – papers.nips.cc
… Paraphrases capture the essence of language diversity [39] and often play important roles in many challenging natural language understanding tasks like question answering [5, 11], semantic parsing [43] and machine translation [7]. Traditional methods generally employ rule …
9 Heteronomy of Narrative
HR Ekbia – Narrative Complexity: Cognition, Embodiment …, 2019 – books.google.com
… world. Instilling ai with narrative intelligence is an essential step to enabling it to under- stand what matters to humans and how humans respond best— through storytelling.(Riedl 2015) Heteronomy of Narrative 231 Page 246 …
CHARS: a Cultural Heritage Adaptive Recommender System
F Colace, M De Santo, M Lombardi… – Proceedings of the 1st …, 2019 – dl.acm.org
… The architecture of the system is based on some main modules, as shown in figure 2. The storytelling module is … [11] N. Zalake and G. Naik, “Generative Chat Bot Implementation Using Deep Recurrent Neural Networks and Natural Language Understanding,” SSRN Electron …
Graph-based neural sentence ordering
Y Yin, L Song, J Su, J Zeng, C Zhou, J Luo – arXiv preprint arXiv …, 2019 – arxiv.org
… Modeling the coherence in a paragraph or a long document is an important task, which contributes to both natural language generation and natural language understanding … SIND. It has 50K stories for the visual storytelling task1, which is in a different domain from the others …
Felt: A Simple Story Sifter
M Kreminski, M Dickinson, N Wardrip-Fruin – … Interactive Digital Storytelling, 2019 – Springer
… of interactive narrative experiences based on story sifting technology—particularly experiences that use sifting to provide creativity support for the human interactor in a collaborative storytelling context. Footnotes. 1. As distinct from the natural language understanding term “story …
DEMN: Distilled-Exposition Enhanced Matching Network for Story Comprehension
C Liu, H Zhang, S Jiang, D Yu – arXiv preprint arXiv:1901.02252, 2019 – arxiv.org
… 1 Introduction Story comprehension is a fascinating task in natural language understanding with a long history (Jones, 1974; Turner, 1994) … In NAACL-HLT. [Turner1994] SR Turner. 1994. The Creative Process: A Computer Model of Storytelling and Creativity. L. Erlbaum …
Cognitive function of artificial intelligence literature
T Feng – IOP Conference Series: Materials Science and …, 2019 – iopscience.iop.org
… The authors believe that AI natural language understanding should pay attention to the metaphorical features of human thinking and language.AI experts … 5] Bringsjord,S., Ferrucci,D.( 2000)AI and Literary Creativity ? Inside the Mind of Brutus, a Storytelling Machine, Lawrence …
Entertaining and opinionated but too controlling: a large-scale user study of an open domain Alexa prize system
KK Bowden, J Wu, W Cui, J Juraska… – Proceedings of the 1st …, 2019 – dl.acm.org
… Storytelling and games were evaluated positively; these were seen as entertaining with predictable interactive structure … in open domain conversation, which seems feasible for the first time due to vastly improved speech recognition, search, and natural language understanding …
INSET: Sentence Infilling with Inter-sentential Generative Pre-training
Y Huang, Y Zhang, O Elachqar, Y Cheng – arXiv preprint arXiv:1911.03892, 2019 – arxiv.org
Page 1. INSET: Sentence Infilling with Inter-sentential Generative Pre-training Yichen Huang ()†‡? Yizhe Zhang†?, Oussama Elachqar†, Yu Cheng† † Microsoft Corporation, Redmond, WA, USA ‡ MIT, Cambridge, Massachusetts …
Houses Bombing in Ravixe: a Bench for High Level Fusion Evaluation
N Museux, C Laudy, MC Florea – 2019 22th International …, 2019 – ieeexplore.ieee.org
… II. THE STORY IN THE BACKGROUND The storytelling of the benchmark takes place in a fictitious country: the Island of Euterpe … NLP focuses on how to automati- cally process natural language data, and by process we mean, natural-language understanding (NLU), natural …
Slugbot: Developing a computational model andframework of a novel dialogue genre
KK Bowden, J Wu, W Cui, J Juraska, V Harrison… – arXiv preprint arXiv …, 2019 – arxiv.org
… CoreNLP Parser: After preprocessing the data we use our Natural Language Understanding (NLU) engine to create a deep structure representation of the user’s utterance … Storytelling 2.5.3 Tell the user a story and answer questions based on a corpus of personal narra- tives …
Digital survivor of sexual assault
R Artstein, C Gordon, U Sohail, C Merchant… – Proceedings of the 24th …, 2019 – dl.acm.org
… 6 DIALOGUE MANAGEMENT As mentioned above in the System Architecture section, our di- alogue manager is the NPCEditor component from the Virtual Human Toolkit [8]. NPCEditor bundles together the functions of Natural Language Understanding and Dialogue …
Identifying Trends in Data Science Articles using Text Mining
SH Adil, M Ebrahim, SSA Ali… – 2019 4th International …, 2019 – ieeexplore.ieee.org
… NLP techniques like natural language translation, natural language understanding, and named-entity recognition (NER) … [5] CN Knaflic, Storytelling with data: A data visualization guide for business professionals, John Wiley & Sons, 2015 …
Playable Experiences at the 15th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE’19)
R Liu, C Christopher, C Martens, S Ontañón… – Proceedings of the AAAI …, 2019 – aaai.org
… In the context of improv, the head focuses on storytelling, narra- tive elements, interest, humor, analogy, metaphor, and rein- corporation; the heart concerns itself with reacting truth- fully in … SHRDLU: A game prototype inspired by winograd’s natural language understanding work …
Spoken Dialogue Robot for Watching Daily Life of Elderly People
K Yoshino, Y Murase, N Lubis, K Sugiyama, H Tanaka… – ahcweb01.naist.jp
… The user utterances transcribed by the ASR module are sent to the natural language understanding (NLU) module to extract information, which is … The policy decides the actions of the system from three actions: topic presentation (topic changing), storytelling and question …
Mood Estimation as a Social Profile Predictor in an Autonomous, Multi-Session, Emotional Support Robot for Children
E Gamborino, HP Yueh, W Lin… – 2019 28th IEEE …, 2019 – ieeexplore.ieee.org
… for human and technology to interact with each other somewhat successfully (eg through touch screens and natural language understanding), Socially Assistive … S. Ronfard, A. Adhikari, PL Harris, D. DeSteno and C. Breazeal, “Flat versus expressive storytelling: young children’s …
TextWorld: A Learning Environment for Text-Based Games
T Barnes, E Fine, J Moore, M Hausknecht… – … 7th Workshop, CGW …, 2019 – books.google.com
… The genre became popular in the early 1980s especially with the release of Zork (Info- com 1980), which featured rich storytelling and an … 2.3. 1 Additional Challenges By their very nature, text-based games bring additional challenges related to natural language understanding …
Virtual Movement from Natural
H Sarma – 2019 – d-nb.info
… In reality, till now natural language understanding did not work well enough at that time to power mainstream ap … 1. CONFUCIUS: This is a multimodal storytelling text to animation system with some specific scene-based objects, eg a house, a field, etc. [Ma, 2006] …
Design and implementation of embodied conversational agents
F Geraci – 2019 – rucore.libraries.rutgers.edu
Page 1. c 2019 Fernando Geraci ALL RIGHTS RESERVED Page 2. DESIGN AND IMPLEMENTATION OF EMBODIED CONVERSATIONAL AGENTS By FERNANDO GERACI A thesis submitted to the School of Graduate Studies Rutgers, The State University of New Jersey …
A process for extracting knowledge base for chatbots from text corpora
AL Krassmann, JM Flach… – 2019 IEEE Global …, 2019 – ieeexplore.ieee.org
Page 1. A Process for Extracting Knowledge Base for Chatbots from Text Corpora Aliane Loureiro Krassmann Graduate Program of Informatics in Education Universidade Federal do Rio Grande do Sul Porto Alegre, Brazil alNrassmann@gmail.com …
Virtual Environment Positioning Utilizing Play-Script Spatiotemporal Reasoning
C Talbot, GM Youngblood – IEEE Transactions on Games, 2019 – ieeexplore.ieee.org
… establishment of empathetic relationships [1]. Also, Kriegel proposes a design to help solve the authoring problem for interactive storytelling uti- lizing … There is quite a bit of work in niche areas for natural language understanding, such as a focus on spatial language expressions …
A long-term study of young children’s rapport, social emulation, and language learning with a peer-like robot playmate in preschool
JM Kory-Westlund, C Breazeal – Frontiers in Robotics and AI, 2019 – frontiersin.org
… Storytelling can allow collaborative, creative conversation and language practice, and can support emergent literacy skills … the robot to appear autonomous while sidestepping technical barriers such as autonomatic speech recognition and natural language understanding …
Usability of Chatbots: A Systematic Mapping Study.
R Ren, JW Castro, ST Acuña, J de Lara – SEKE, 2019 – miso.es
… The paper presents various solutions for building chatbots, including AIML, NLP and Natural Language Understanding (NLU) … “A therapy system for post-traumatic stress disorder using a virtual agent and virtual storytelling to reconstruct traumatic memories” …
Support Cybersecurity Risk Public Awareness with AI Machine Comprehension
G Lin, Y Miao, Y Hu, Z Shen – International Journal of Information …, 2019 – intjit.org
… component for natural language understanding … MAS); Goal Oriented Modeling, Agent Oriented Software Engineering; Semantic Web/Grid, e-Learning, Bioinformatics and Bio-manufacturing; Agent Augmented Interactive Media, Game Design, and Interactive Storytelling …
On the usage of a classical arabic corpus as a language resource: related research and key challenges
I Bounhas – ACM Transactions on Asian and Low-Resource …, 2019 – dl.acm.org
… 10Honorific expression ( ). 11“BILOU encode the Beginning, the Inside and Last token of multi-token chunks”, http://natural-language-understanding. wikia.com/wiki/ Named_entity_recognition, last visited: 26/06/2018. 12Support Vector Machine. ACM Trans. Asian …
News Automation: The rewards, risks and realities of ‘machine journalism’
CG Lindén, H Tuulonen, A Bäck, N Diakopoulos… – 2019 – jyx.jyu.fi
Page 1. News Automation The rewards, risks and realities of ‘machine journalism’ MARCH 2019 Page 2. IMPRINT NEWS AUTOMATION – A WAN-IFRA GUIDE TO THE FIELD PUBLISHED BY: WAN-IFRA Rotfeder-Ring 11 60327 Frankurt, Germany CEO: Vincent Peyrègne …
Facebook Messenger chatbots. How businesses can benefit from this opportunity
J SANCHEZ – 2019 – politesi.polimi.it
… Challenges that natural language processing has to face are speech recognition in order to format sounds into text, natural language understanding to comprehend text, and natural language generation to produce the answer …
Evaluation Techniques for Chatbot Usability: A Systematic Mapping Study
R Ren, JW Castro, ST Acuña… – International Journal of …, 2019 – World Scientific
… users. The work by Ramesh et al. [14] surveys design techniques for conversational agents. The paper presents various techniques for building chatbots, including AIML, NLP and Natural Language Understanding (NLU). The …
Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts
J Merullo, L Yeh, A Handler, A Grissom II… – arXiv preprint arXiv …, 2019 – arxiv.org
… Previous work suggests that this form of storytelling ex- hibits racial bias: nonwhite players are less fre- quently praised for good plays (Rainville and … spacy 2: Natural language understanding with bloom embed- dings, convolutional neural networks and incremen- tal parsing …
Who is responsible for a dialogue breakdown? an error recovery strategy that promotes cooperative intentions from humans by mutual attribution of …
T Uchida, T Minato, T Koyama… – Frontiers in Robotics and AI, 2019 – frontiersin.org
… Solution. In human-robot conversations, a dialogue breakdown is generally caused by the robot’s insufficient natural language understanding, which requires sophisticated technologies of natural language processing (eg, context or situation recognition) that remain immature …
Simulated speaking environments for language learning: insights from three cases
T Sydorenko, TFH Smits, K Evanini… – Computer Assisted …, 2019 – Taylor & Francis
… Oral practice can be promoted in a number of ways. Researchers have examined oral storytelling (Kim, 2014), role-plays (Yen, Hou, & Chang, 2015), video production (Sun & Yang, 2015), and telecollaborative exchanges via Skype (Barron & Black, 2015), among others …
Popular topics in HCI: Special Issue of Selected Extended Papers from the 32nd International BCS Human Computer Interaction Conference
R Bond, M Mulvenna – Interacting with Computers, 2019 – academic.oup.com
… tangible user interfaces, information quality, behaviour change interventions in digital healthcare, playful interactions, storytelling, trust, human … with computers since they remove the need for graphical user interfaces and rely on natural language understanding and dialogue …
News Automation: The rewards, risks and realities of’machine journlism’
H Tuulonen, CG Linden, A Bäck, N Diakopoulos… – 2019 – cris.vtt.fi
Page 1. News Automation The rewards, risks and realities of ‘machine journalism’ MARCH 2019 Page 2. IMPRINT NEWS AUTOMATION – A WAN-IFRA GUIDE TO THE FIELD PUBLISHED BY: WAN-IFRA Rotfeder-Ring 11 60327 Frankurt, Germany CEO: Vincent Peyrègne …
Conversational UX Design: A Practitioner’s Guide to the Natural Conversation Framework
RJ Moore, R Arar – 2019 – dl.acm.org
… versational activities is more challenging. Answering has a different interactional structure from quizzing. Debating has a different structure from storytelling. Trou- bleshooting has a different structure from tutoring. And in any of …
Designing for health chatbots
A Fadhil, G Schiavo – arXiv preprint arXiv:1902.09022, 2019 – arxiv.org
… A study by Oh (Oh 2017) suggested a conversational service for psychiatric counseling by adapting continues emotion monitoring and methodologies to understand counseling content based on natural language understanding (NLU), and emotion recognition based on a multi …
Towards expressive input for character dialogue in digital games
N Junius, M Mateas, N Wardrip-Fruin – Proceedings of the 14th …, 2019 – dl.acm.org
… Additionally, in evaluating Façade’s user interface, Sali et al found that players enjoyed the real-time, natural language understanding version of the game, in spite of the difficulties and systemic breakdowns they encountered, when compared to the more industry-standard …
It knows how to not understand us! A study on what the concept robustness entails in design of conversational agents for preschool children
JH Nilsen – 2019 – duo.uio.no
Page 1. “It knows how to not understand us!” A study on what the concept robustness entails in design of conversational agents for preschool children Julie Hagen Nilsen & Kristine Røyneland Thesis submitted for the degree of Master in Informatics: Design, use, interaction …
It knows how to not understand us! A study on what the concept of robustness entails in design of conversational agents for preschool children
K Røyneland – 2019 – duo.uio.no
Page 1. “It knows how to not understand us!” A study on what the concept robustness entails in design of conversational agents for preschool children Julie Hagen Nilsen & Kristine Røyneland Thesis submitted for the degree of Master in Informatics: Design, use, interaction …
Towards text mining therapeutic change: A systematic review of text-based methods for Therapeutic Change Process Research
W Smink, AM Sools, JM van der Zwaan, S Wiegersma… – Plos one, 2019 – journals.plos.org
Therapeutic Change Process Research (TCPR) connects within-therapeutic change processes to outcomes. The labour intensity of qualitative methods limit their use to small scale studies. Automated text-analyses (eg text mining) provide means for analysing large scale text patterns …
A Context-Aware Chatbot for Tourist Destinations
F Clarizia, F Colace, M De Santo… – … on Signal-Image …, 2019 – ieeexplore.ieee.org
… [21] M. Garber-Barron and M. Si, “Towards Interest and Engagement: A Framework For Adaptive Storytelling,” in Intelligent … Zalake and G. Naik, “Generative Chat Bot Implementation Using Deep Recurrent Neural Networks and Natural Language Understanding,” SSRN Electron …
Council of Coaches
B Bedsted, A Pease, C Pelachaud, VT Salcedo… – 2019 – research.utwente.nl
… This way, it is possible to engage the user in a discussion about a personal issue without bearing on real-time natural language understanding … Battagolino, C. and Bickmore, T. (2015). Increasing the engagement of conversational agents through co- constructed storytelling …
Diversity & inclusion technology: The rise of a transformative market
SS Garr, C Jackson – Red Thread Research and Mercer, 2019 – redthreadresearch.com
Page 1. Diversity & Inclusion Technology: The Rise of a Transformative Market By Stacia Sherman Garr, RedThread Research, in partnership with Carole Jackson, Mercer February 2019 Page 2. Diversity & Inclusion Technology: The Rise of a Transformative Market 2 …
Teaching Robots Behaviors Using Spoken Language in Rich and Open Scenarios
V Paléologue – 2019 – hal.archives-ouvertes.fr
… I thank my colleagues, especially Jocelyn Martin for his amazing software for natural language understanding, and Shin Watanabe, Jérôme Bruzaud and my friends of the “Framework” team … 27 2.3.2 Performing Natural Language Understanding a Posteriori …
Towards ontological support for journalistic angles
AL Opdahl, B Tessem – Enterprise, Business-Process and Information …, 2019 – Springer
… For the purpose of the example, we have used Google Translate and adapted the outputs of IBM Watson’s Natural Language Understanding service … Wide Web 6(2), 151–161 (2008)CrossRef Google Scholar. 8. Gervas, P.: Computational approaches to storytelling and creativity …
The needfinding machine
N Martelaro, W Ju – Social internet of things, 2019 – Springer
… Prototypes such as Kelly et al.’s exploration of natural language understanding [51] and Maulsby et al.’s simulation of multimodal interfaces [60] show … linked to time and space and is used similarly to personal photo organization as a way of reminiscing and storytelling [9] and …
Artificial intelligence in nuclear medicine
F Nensa, A Demircioglu… – Journal of Nuclear …, 2019 – Soc Nuclear Med
… Although the analysis of text documents may seem easy (compared with, eg, image analysis) and recent advances in natural language processing and natural language understanding became very visible in gadgets such as Alexa (https://alexa.amazon.com), Google Assistant …
Experimental study of socio chatbot usability
R Ren – 2019 – repositorio.uam.es
… systems The work by Ramesh et al. [40] surveys design techniques for conversational agents. The paper presents various solutions for building chatbots, including AIML, NLP and Natural Language Understanding (NLU). The …
Interactive Question-Posing System for Robot-Assisted Reminiscence from Personal Photos
YL Wu, E Gamborino, LC Fu – IEEE Transactions on Cognitive …, 2019 – ieeexplore.ieee.org
… be easily extended. Due to limited ability of natural language understanding, in order to be able to handle the responses from the user, dialogue systems often pose questions that ask for expected answers. Responses to these …
Multi-domain sentiment analysis with mimicked and polarized word embeddings for human–robot interaction
M Atzeni, DR Recupero – Future Generation Computer Systems, 2019 – Elsevier
… Recently, word embeddings have been widely used in many different tasks within the field of Natural Language Understanding (NLU), including question answering [1], [2], machine translation [3], End-User Development [4], and also sentiment analysis [5], [6]. However, the use …
A multimodal approach to sarcasm detection on social media
D Das – 2019 – researchgate.net
… Page 31 4.1.1 Definitions Page 31 4.1.2 IBM Tone Analyzer Page 32 4.1.3 Storytelling Page 33 4.1.4 Commons Machine Learning Algorithms Page 33 4.2 Investigating a Current System Page 35 4.3 Tone as a Way to Differentiate between Satire and Fake News Page 37 …
The era of connectedness: How AI will help deliver the future of banking
T Lau, B Leimer – Journal of Digital Banking, 2019 – ingentaconnect.com
… platform-driven preference engines. Personal technology then begins to act as a focal point of a new form of ancient storytelling — entertainment, community, exchanging wisdom and education. People’s homes — whether physical …
Conversational Agents for Insurance Companies: From Theory to Practice
F Koetter, M Blohm, J Drawehn, M Kochanowski… – … Conference on Agents …, 2019 – Springer
… For natural language understanding, we compared four possible frameworks (Microsoft’s LUIS, Google’s Dialogflow, Facebook’s wit.ai and IBM’s Watson) regarding important criteria for prototype implementation in a first step just for prototype 1. The comparison was extended …
ParlAmI: a multimodal approach for programming intelligent environments
E Stefanidi, M Foukarakis, D Arampatzis, M Korozi… – Technologies, 2019 – mdpi.com
… measures of influence. Moreover, with respect to engagement, the participants in [70] could better recall the story of a robotic agent when the agent looked at them more during a storytelling scenario. Additionally, several studies …
Exploring the effects of a social robot’s speech entrainment and backstory on young children’s emotion, rapport, relationship, and learning
JM Kory-Westlund, C Breazeal – Frontiers in Robotics and AI, 2019 – frontiersin.org
… listening and was thus fairly realistic and not particularly deceptive, given general difficulties in social robotics with automatic speech recognition and natural language understanding. The remainder of the backstory discussed the robot’s interest in storytelling and conversation …
The study of narrative acts with and for digital media
N Szilas, S Estupiñán, M Marano… – Digital Scholarship in …, 2019 – academic.oup.com
… narrative sequence. 1.2 Narrative acts in digital narratives. Narrative acts play a specific role in the domain of digital narrative, in particular in interactive digital narrative (IDN)—also termed interactive digital storytelling. The field …
The State of Speech in HCI: Trends, Themes and Challenges
L Clark, P Doyle, D Garaialde, E Gilmartin… – Interacting with …, 2019 – academic.oup.com
AbstractSpeech interfaces are growing in popularity. Through a review of 99 research papers this work maps the trends, themes, findings and methods of empirical.
A child and a robot getting acquainted-interaction design for eliciting self-disclosure
M Ligthart, T Fernhout, MA Neerincx… – Proceedings of the 18th …, 2019 – edithlaw.ca
… These IDPs deal with several challenges within the field [4]. For example, the poor performance of speech recognition for children [24] and the difficulty of natural language understanding [4]. Furthermore, we have designed a more and less ‘energetic’ robot in an attempt to cater …
Concerning the apperception of robot-assisted childcare
RA Jones – Philosophy & Technology, 2019 – Springer
… With its cute cartoon outlook, fine craftwork, latest natural language understanding technology, and cloud apps, it will be your child’s best friend … such as bedtime stories, playing games, and answering the child’s questions, let alone cuddling the baby whilst singing or storytelling …
Behavioral prediction using data-scientific approaches: a case study in public speaking
MI Tanveer – 2019 – search.proquest.com
… Additionally,. I showed that storytelling styles can act as good features for behavioral prediction in. public speaking … The robot does not incorporate any. natural language understanding component. However, it can track the presenter using …
From one to another: how robot-robot interaction affects users’ perceptions following a transition between robots
XZ Tan, S Reig, EJ Carter… – 2019 14th ACM/IEEE …, 2019 – ieeexplore.ieee.org
… Realistic speech was generated using the Amazon AWS Polly SDK [26], and natural human responses were recognized through a pipeline consisting of Google Cloud Speech and SNIPS Natural Language Understanding Engine [27] …
The am4i architecture and framework for multimodal interaction and its application to smart environments
N Almeida, A Teixeira, S Silva, M Ketsmur – Sensors, 2019 – mdpi.com
Technologies, such as smart sensors, actuators, and other kinds of devices, are often installed in our environments (eg, our Homes) and available to integrate our daily lives. Despite their installation being motivated by the pursuit of automation and increased efficiency, making these …
Automatic detection of generated text is easiest when humans are fooled
D Ippolito, D Duckworth, C Callison-Burch… – Proceedings of The 58th …, 2019 – cis.upenn.edu
… The system is built as a combination of retrieval engines and learned textualentailment-like classifiers built using a few recent developments in natural language understanding … Proceedings of the Second Workshop on Storytelling 2019. Abstract × …
Project Thyia: A Forever Gameplayer
RD Gaina, SM Lucas… – 2019 IEEE Conference …, 2019 – ieeexplore.ieee.org
… game “Galatea” [9], which focuses on interactive storytelling … [12] S. Ontanon, “Shrdlu: A game prototype inspired by winograd’s natural language understanding work,” in Fourteenth Artificial Intelligence and Interactive Digital Entertainment Conference, 2018 …
Humour-in-the-loop: Improvised Theatre with Interactive Machine Learning Systems
KW Mathewson – 2019 – era.library.ualberta.ca
… 115 6.2 Background and Related Work . . . . . 115 6.2.1 Automated Story Generation . . . . . 115 6.2.2 Digital Storytelling . . . . . 116 6.2.3 Improvised Theatre . . . . . 117 6.3 Approach …
Deep learning for nlp and speech recognition
U Kamath, J Liu, J Whitaker – 2019 – Springer
Page 1. Uday Kamath · John Liu · James Whitaker Deep Learning for NLP and Speech Recognition Page 2. Deep Learning for NLP and Speech Recognition Page 3. Uday Kamath • John Liu • James Whitaker Deep Learning for NLP and Speech Recognition 123 Page 4 …
Knowledge-based Conversational Search
S Vakulenko – arXiv preprint arXiv:1912.06859, 2019 – arxiv.org
… Svitlana Vakulenko, Ilya Markov, and Maarten de Rijke. Conversational exploratory search via interactive storytelling. In Proceedings of the Workshop on Search-Oriented Conversational AI (SCAI), 2017 • Svitlana Vakulenko and Vadim Savenkov …
Developing Cognitive Bots Using the IBM Watson Engine
W Platform – Springer
… Watson Natural Language Understanding (NLU) ….20 … In her current role, Sudipta orchestrates at the intersection of digital marketing, creative storytelling, analytics-driven content development, and experience-driven platforms …
Toolkit for social experiments in VR
U Kristjánsson – 2019 – skemman.is
… 7 2.2.2 Natural Language Understanding . . . . . 7 … 2.2.2 Natural Language Understanding As an interface for constructing complex visual scenarios, natural language can be considered as one effective means of describing them intuitively …
Generation of Creaky Voice
KS Rao, NP Narendra – … Modeling Techniques for Quality Enhancement in …, 2019 – Springer
… The proposed method should be suitably modified to be applied for other speaking styles such as storytelling, interactive conversation, and … SpringerBriefs in Speech Technology (Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning) …
Virtual and Augmented Reality in Education, Art, and Museums
G Guazzaroni, AS Pillai – 2019 – books.google.com
… There are many subsets of Artificial Intelligence research, ranging from speech recognition and natural language understanding to machine learning and deep … Moreover, memories and digital storytelling will be increasingly used to build rich experiences for citizens, students or …
This is Revenue Management: How the Best Revenue Managers Create Massive Value
J Hammer – 2019 – books.google.com
… Management Pickup Pace TWO – Learn the Basics OCC, ADR, and REVPAR Segmentation Hotel Performance indicators and Benchmarking BAR structure Online content Hotel Images Hotel description Demand Calendar Revenue Meetings Storytelling Trendspotting THREE …
BACHELORS THESIS
ME Adam – 2019 – researchgate.net
… KB kilobyte ML machine learning NLP natural language processing NLU natural language understanding POS part-of-speech SAP Systems, Applications & Products in Data Processing SDK software development kit SPSS Statistical Package for Social Sciences Page 7 …
Prototyping relational things that talk: a discursive design strategy for conversational AI systems
B Aga – 2019 – pearl.plymouth.ac.uk
… ML with natural language understanding, connectivity and increased processing is powering the ubiquity of conversational interfaces which are explored in this thesis. Page 21. 21 ‘ways of constituting knowledge, together with the social practices, forms …
Posthumanism, singularity, and the anthropocene: a thematic perspective on posthuman science fiction
JCS Leung – 2019 – repository.hkbu.edu.hk
… “optical illusion” (Haraway, 1991, p. 149). Science fiction has the capability to articulate the changes of the social reality with its unique form of narratives and storytelling. Science fiction and posthumanism in a way share a common ground in their exploration of …
Puppitor: Building an Acting Interface for Videogames
N Junius – 2019 – escholarship.org
… system module, authoring of rulesets and animations, and propose a direction for further work in the realm of interactive drama and storytelling more broadly. viii Page 10. Chapter 1 … joyed the realtime, natural language understanding version of the game, in spite of the …
Automating the news: How algorithms are rewriting the media
N Diakopoulos – 2019 – books.google.com
… There’s almost no facet of the news production pipeline, from information gathering to sense-making, storytelling, and distribution that is not increasingly touched by algorithms. Ebullient mysticism swirls around all of the possibilities algo- rithms create …
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
Page 1. Beginning Silverlight 5 in C#; Fourth Edition .NET & J2EE Interoperability .NET 2.0 for Delphi Programmers .NET 3.5 CD Audio Player: Create a CD Audio Player in .NET 3.5 Using WPF and DirectSound .NET 4 for Enterprise …
MULTI-VIEW REPRESENTATION LEARNING FOR UNIFYING LANGUAGES, KNOWLEDGE AND VISION
MSA Mogadala – core.ac.uk
Page 1. Zur Erlangung des akademischen Grades eines Doktors der Ingenieurwissenschaften (Dr.-Ing.) von der KIT-Fakultät für Wirtschaftswissenschaften des Karlsruher Instituts für Technologie (KIT) genehmigte Dissertation von M.Sc. Aditya Mogadala …
Multimedia data stream information mining algorithm based on jointed neural network and soft clustering
L Deng, D Li – Multimedia Tools and Applications, 2019 – Springer
… traditional way of feature learning let the machine in the unsupervised conditions to complete the extraction and selection of features, the characteristics of the expression and the feature-based image recognition, speech recognition, natural language understanding and other …
The theory and practice of social machines
N Shadbolt, K O’Hara, D De Roure, W Hall – 2019 – Springer
Page 1. Lecture Notes in Social Networks Nigel Shadbolt Kieron O’Hara David De Roure Wendy Hall The Theory and Practice of Social Machines Page 2. Lecture Notes in Social Networks Series editors Reda Alhajj, University …
Data-driven Marketing Content: A Practical Guide
L Wilson – 2019 – books.google.com
Page 1. MARKETN c C O N T EN T Page 2. DATA-DRIVEN MARKETING CONTENT: A PRACTICAL GUIDE Page 3. Praise for Data-driven Marketing Content: A Practical Guide Lee has been my go-to guy for search marketing …
Characterising Social Machines
N Shadbolt, K O’Hara, D De Roure, W Hall – The Theory and Practice of …, 2019 – Springer
This opening chapter introduces the idea of social machines. The metaphor of a machine is introduced, and it is explained how it applies to social groups connected through digitally networked…
Connecting through Educational Technology
A Volungeviciene, A Sz?cs – 2019 – eden-online.org
Page 1. EDEN 2019 ANNUAL Conference Connecting through Educational Technology to produce effective learning environments EDEN 2019 Annual Conference Bruges, Belgium 16-19 June 2019 BOOK OF ABSTRACTS Including the Collection of “Synergy” Synopses …
The Domestication of Voice Activated-Technology & EavesMining: Surveillance, Privacy and Gender Relations at Home
SJ Neville – 2019 – yorkspace.library.yorku.ca
Page 1. THE DOMESTICATION OF VOICE-ACTIVATED TECHNOLOGY & EAVESMINING: SURVEILLANCE, PRIVACY AND GENDER RELATIONS AT HOME STEPHEN NEVILLE A THESIS SUBMITTED TO THE FACULTY …
An Alternative Representation of Video via Feature Extraction (RAAVE)
FA Salim – 2019 – tara.tcd.ie
Page 1. An Alternative Representation of Video via Feature Extraction (RAAVE) A thesis submitted to the University of Dublin, Trinity College for the degree of Doctor of Philosophy ADAPT Centre and CNGL School of Computer Science and Statistics Trinity College Dublin …
School Libraries in a Time of Change: How to Survive and Thrive
KW Craver – 2019 – books.google.com
Page 1. SCHOOL LIBRARIES |N A TIME OF CHANGE yº, _ * HOW TO SURVIVE AND THRIVE KATHLEEN W. CRAVER Page 2. School Libraries in a Time of Change Page 3. This page intentionally left blank Page 4. School Libraries …
Game AI Pro 360: Guide to Character Behavior
S Rabin – 2019 – books.google.com
… characters, interactive storytelling, game design support systems, AI models of creativity, and automated game generation … conversational interaction in games (by integrating systems for dialog management, natural language generation, and natural language understanding) …