Notes:
Narrative generation is the process of using computational techniques to produce written stories or other forms of narrative text. This can involve using artificial intelligence algorithms to analyze and understand the structure and meaning of text, as well as generate new text that is coherent, cohesive, and adheres to the conventions of human language. Narrative generation is a rapidly evolving field, and researchers are constantly developing new techniques and technologies to improve the quality and naturalness of the narratives produced by computers. These techniques can be used for a variety of purposes, such as generating news articles, creating personalized content for social media, or even writing fiction.
Natural language technologies are used in narrative generation to enable computers to produce stories or other written text that is similar to human-generated content. This can be done using a variety of techniques, such as natural language processing (NLP) and natural language generation (NLG).
NLP is a subfield of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. NLP techniques are used in narrative generation to analyze and understand the structure and meaning of text, which can help the system generate coherent and cohesive stories.
NLG, on the other hand, is a subfield of artificial intelligence that focuses on generating human-like text. NLG techniques are used in narrative generation to produce written stories that are coherent, cohesive, and adhere to the conventions of human language. This can involve selecting the appropriate words and phrases to use, as well as organizing them in a way that makes sense and follows the rules of grammar.
Narrative generation system is a computer system that uses artificial intelligence algorithms to produce written stories or other forms of narrative text. This can involve analyzing and understanding the structure and meaning of existing text, as well as generating new text that is coherent, cohesive, and adheres to the conventions of human language. Narrative generation systems are typically designed to produce written narratives that are similar to those created by humans. This can involve using natural language processing (NLP) and natural language generation (NLG) techniques to analyze and understand the structure and meaning of text, as well as generate new text that is coherent, cohesive, and adheres to the conventions of human language.
Narrative generator is a component of a narrative generation system that is responsible for producing written stories or other forms of narrative text. This can involve selecting the appropriate words and phrases to use, as well as organizing them in a way that makes sense and follows the rules of grammar. Narrative generators are typically designed to produce written narratives that are similar to those created by humans. This can involve using natural language processing (NLP) and natural language generation (NLG) techniques to analyze and understand the structure and meaning of text, as well as generate new text that is coherent, cohesive, and adheres to the conventions of human language.
Wikipedia:
References:
See also:
100 Best Narrative Science Videos | Computational Narrative Systems | Interactive Narrative & Dialog Systems | Story Intention Graph
A narrative sentence planner and structurer for domain independent, parameterizable storytelling
SM Lukin, MA Walker – Dialogue & Discourse, 2019 – 129.70.43.92
… Natural Language and Dialogue Systems Lab University of California, Santa Cruz, CA … The ability to use Natural Language Generation (NLG) to produce stories that are tai- lored and adapted to the individual reader could have large impact in many different applications …
Ex-Tarot: An extended Tarot-based narrative generation
PS Chacón, M Eger – 2019 IV Jornadas Costarricenses de …, 2019 – ieeexplore.ieee.org
… In this paper we describe the implementation of Ex-Tarot, a Tarot based narrative generation, which extends the expressive range of a … by our systems in terms of consistency, perceived interest, and measure the presence of grammatical errors in the natural language output …
The 2nd International Workshop on Narrative Extraction from Text: Text2Story 2019
AM Jorge, R Campos, A Jatowt, S Bhatia – European Conference on …, 2019 – Springer
… findings on relevant research from a wide range of areas including information extraction, information retrieval, natural language processing, text … Credibility – Models for detection and removal of bias in generated stories – Ethical and fair narrative generation – Fact Checking …
A method of naimaze of narratives based on kabuki analyses and Propp’s move techniques for an automated narrative generation system
T Ogata – Journal of Robotics, Networking and Artificial Life, 2019 – atlantis-press.com
… His major research interests include artificial intelligence, cognitive science, natural language processing, narratology and literary theories, an interdisciplinary approach to the development of narrative generation systems based on AI and narratology, and the application to …
Hello, Narratives: Character Development in Automated Narrative Generation
M Alvarez, RE Amaya, KA Benko, JT Martin… – The Thirty-Second …, 2019 – aaai.org
… The system is comprised of five isolated modules: World Creation, Event Generation, Event Trans- lation, Natural Language Generation, and Animation. This paper contains discussions of each component of the fAIble II narrative generation system, and presents system testing …
Abstractive Narrative Generation
Y Safovich – 2019 – azariaa.com
… In the field of interactive storytelling, AI planning was first proposed for tasks of narrative generation and is the dominant approach … Unit ILP Integer Linear Programming LM Language Model LSTM Long Short-Term Memory (RNN) m million NLP Natural Language Processing NN …
Narrative Generation in the Wild: Methods from NaNoGenMo
J van Stegeren, M Theune – Proceedings of the Second Workshop on …, 2019 – aclweb.org
… 65 Narrative Generation in the Wild: Methods from NaNoGenMo … Consequently, the choice for a particu- lar programming language may have influenced the chosen text generation and narrative generation ap- proach, and vice versa. Both Python and Javascript, Page 4. 68 …
The long path to narrative generation
P Gervás, E Concepción, C León… – IBM Journal of …, 2019 – ieeexplore.ieee.org
… Gervás et al.: The long path to narrative generation … Some of the solutions considered for this purpose have been based on Natural Language Processing, using various technologies for knowledge representation, and supported by a myriad of techniques from the domain of …
Guided neural language generation for automated storytelling
P Ammanabrolu, E Tien, W Cheung, Z Luo… – Proceedings of the …, 2019 – aclweb.org
… Abstract Neural network based approaches to auto- mated story plot generation attempt to learn how to generate novel plots from a corpus of natural language plot summaries … We present an ensemble-based model that gen- erates natural language guided by events …
A Framework for Haiku Generation from a Narrative
T Ito, T Ogata – Journal of Robotics, Networking and Artificial Life, 2019 – atlantis-press.com
… His major research interests include artificial intelligence, cognitive science, natural language processing, narratology and literary theories, an interdisciplinary approach to the development of narrative generation systems based on AI and narratology, and the appli- cation to …
Strategies for structuring story generation
A Fan, M Lewis, Y Dauphin – arXiv preprint arXiv:1902.01109, 2019 – arxiv.org
… 7 Related Work Decomposing natural language generation into several steps has been extensively explored (Reiter and Dale, 2000; Gatt and Krahmer, 2018). In clas- sical approaches to text generation, various stages were used to produce final written text …
Computer-based Story Generation. An Analysis from a Phenomenological Standpoint
? Tr?u?an-Matu – International Journal of User-System Interaction, 2019 – rochi.utcluj.ro
… actions in that area. The paper continues by analyzing several narrative generation approaches. Theories, models, and techniques used to generate narratives using natural language processing are considered. The third section …
Natural Language Content Generation for Computer Games
O Sundin – 2019 – diva-portal.org
… Natural Language Content Generation for Computer … In this thesis we explore the possibilities of combining Natural Language Generation with Pro- cedural Content Generation methods to produce natural language game content for the computer game Crusader Kings II …
The campfire storytelling system–automatic creation and modification of a narrative
JR Hollister, AJ Gonzalez – Journal of Experimental & Theoretical …, 2019 – Taylor & Francis
… Instead of focusing on how to generate a narrative, STORYBOOK concentrates on how to take a story structure and create a natural language output in the story … RIU combined an interactive narrative generation process with a text generation process (Ontañon & Zhu, 2010) …
Desiderata for a Computational Model of Human Online Narrative Sensemaking
RE Cardona-Rivera, RM Young – 2019 – qed.cs.utah.edu
… between events in a narrative’s plot and has proven to be an effective method for modeling natural language generation in … work presented here suggest that (in addition to serving as a popular vehicle through which to mechanize narrative generation) automated planning can …
Automated Narrative Extraction from Administrative Records.
K Megerdoomian, K Branting, C Horowitz, A Marsh… – AIAS@ ICAIL, 2019 – ceur-ws.org
… of the analytics involves processing the output from the Natural Language Processing systems to perform several steps in knowledge discovery in natural language text … In TimeML, events are typically described by verbs, which aligns with our approach to narrative generation …
AUTOMATED CRICKET NEWS GENERATION IN SRI LANKAN STYLE USING NATURAL LANGUAGE GENERATION
DY Gunasiri, KL Jayaratne – European Journal of Computer …, 2019 – researchgate.net
… is time consuming and there can be factors which would influence the comparison that cannot be considered in Natural Language Generation … In cases of languages other than English, the template-driven approach to narrative generation would be particularly useful since there …
Interactive Narrative Authoring Using Cognitive Models in Narrative Planning
R Sanghrajka – Proceedings of the AAAI Conference on Artificial …, 2019 – aaai.org
… Sanghrajka, R.; Witon, W.; Schriber, S.; Gross, M.; and Ka- padia, M. 2018. Computer-assisted authoring for natural language story scripts … Teutenberg, J., and Porteous, J. 2013. Efficient intent- based narrative generation using multiple planning agents …
Guided open story generation using probabilistic graphical models
S Gandhi, B Harrison – Proceedings of the 14th International Conference …, 2019 – dl.acm.org
… 2018. Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation. Journal of Artificial Intelligence Research 61 (2018), 65–170 … 2009. Controlling narrative generation with planning trajectories: the role of constraints …
Conversational Narrative Interfaces for Sensemaking
AO Petac – Proceedings of the 18th International Conference on …, 2019 – ifaamas.org
… at the intersection of four important domains: discourse structure, dialogue systems, inferential pragmatics and narrative generation mechanisms focusing on … In Proceedings of the 3rd International Conference on Cognitive Science in Natural Language Processing (CSNLP’94) …
Stories of the town: balancing character autonomy and coherent narrative in procedurally generated worlds
C Miller, M Dighe, C Martens, A Jhala – Proceedings of the 14th …, 2019 – dl.acm.org
… In summation, we use Glaive to yield solutions to a large class of prob- lem definitions which we can then transform into natural language sentences via our PCFG. 3.4 Problem Solution to PCFG Generated Narrative The last step of our narrative generation process involves …
Acquiring Planning Models from Narrative Synopses
T Hayton – 2019 – research.tees.ac.uk
… Chapter 2 – Details background information and reviews current and previ- ous work in: Automated Planning; Planning based Narrative Generation; Infor- mation Extraction (IE) approaches for natural language; and domain authoring tools …
The Art of Narration and Artificial Narrative Intelligence: Implications for Interdisciplinary Research
IA Livytska – Journal of Narrative and Language Studies, 2019 – researchgate.net
… Barthes (Barthes, 1977) and Wolfgang Iser (Iser, 1974), leading to a more interactive type of narrative generation in AI … cognitive models of creative writing (Bereiter &Scardamalia, 1987), Mind Theory (Minsky, 1981) and conceptualisations of natural language (see Davis&Travers …
SceneML: A Proposal for Annotating Scenes in Narrative Text
R Gaizauskas, T Alrashid – Workshop on Interoperable Semantic …, 2019 – sigsem.uvt.nl
… This will then help enable a range of applications, including narrative analysis tools, book to movie alignment, image description and narrative generation. 19 Page 26 … In Proceedings of the 9th International Natural Language Generation Conference (INLG16) …
Narratological formulation of story-form memory construction: applying Genette’s narrative discourse theory
T Akimoto – Biologically Inspired Cognitive Architectures Meeting, 2019 – Springer
… In: proceedings of the 10th European workshop on natural language generation, pp 91–100Google Scholar. 16. Ogata T (2016) Computational and cognitive approaches to narratology from the perspective of narrative generation …
Open-World Story Generation with Sequence-to-Sequence and Hierarchical Recurrent Encoder-Decoder Models
R Zembrodt – 2019 – zembrodt.com
… Recurrent neural networks (RNN) have been used recently in various appli- cations for natural language processing and generation … Word Embeddings Input for recurrent neural networks is always in the form of vectors, but they are applied in many natural language problems …
A Survey of Deep Learning Applied to Story Generation
S Xuanyuan – … , SmartCom 2019, Birmingham, UK, October 11 …, 2019 – books.google.com
… 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. Meehan, JR: TALE-SPIN, an interactive program that writes stories. IJCAI 77, 91–98 (1977) 2. Zhu, F., Cungen, C.: A survey of narrative generation approaches. J. Chin. Inf. Process … In: Empirical Methods in Natural Language Processing, pp …
Technologies and Workshop on Intelligent Cinematography and Editing
HY Wu, M Si, A Jhala – ceur-ws.org
… Novel techniques for entertaining, training, and education have been developed in such fields as narrative understanding, narrative generation, storytelling, virtual cinematography, models of emotion, narrative cognition, and natural language generation …
Narrative Text Generation via Latent Embedding from Visual Stories
??? – 2019 – s-space.snu.ac.kr
… Those agents observe the surroundings, translate them into the story in natural language, and predict the following event or multiple ones sequentially … From the philosophy of end-to-end training, we can describe it using natural language, which is human-readable …
A Survey of Deep Learning Applied to Story Generation
C Hou, C Zhou, K Zhou, J Sun, S Xuanyuanj – International Conference on …, 2019 – Springer
… 1. Meehan, JR: TALE-SPIN, an interactive program that writes stories. IJCAI 77, 91–98 (1977)Google Scholar. 2. Zhu, F., Cungen, C.: A survey of narrative generation approaches … In: Empirical Methods in Natural Language Processing, pp. 1412–1421 (2015)Google Scholar. 15 …
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
… temporal relationships. This type of knowledge is applicable to various tasks of natural language processing, such as understanding and summarization, and also provides a basic knowledge for narrative generation. McIntyre and …
Extraction and Description of the Narrative Structure from TV-Series
A BERHE – perso.limsi.fr
… 9. Josep Valls Vargas. Narrative Information Extraction with Non-Linear Natural Language Processing Pipelines … 2006. 13. Kattagoni, VenuMadhav and Navjyoti Singh. “IREvent2Story: A Novel Mediation Ontology and Narrative Generation.” Text2Story@ECIR (2018). 14 …
Narratological Formulation of Story-Form Memory Construction: Applying Genette’s Narrative Discourse Theory
A Genette’s – … Cognitive Architectures 2019: Proceedings of the …, 2019 – books.google.com
… generation. In: proceedings of the 10th European workshop on natural language generation, pp 91–100 Ogata T (2016) Computational and cognitive approaches to narratology from the perspective of narrative generation. In …
Show, Reward, and Tell: Adversarial Visual Story Generation
J Tang, J Wang, Z Li, J Fu, T Mei – ACM Transactions on Multimedia …, 2019 – dl.acm.org
… https://doi.org/10.1145/3291925 1 INTRODUCTION Visual Question Answering (VQA), which aims at providing an answer for the image and the corresponding natural language question, is a significant task in computer vision and artificial intelligence [33] …
Narrative structure in the mind: Translating Genette’s narrative discourse theory into a cognitive system
T Akimoto – Cognitive Systems Research, 2019 – Elsevier
… Narratological theories are applied in artificial intelligence studies on narrative generation (Gervás et al., 2006, Lönneker, 2005, Ogata, 2016), interactive narrative (Montfort, 2007), narrative analysis (Mani, 2013), and cognitive architecture (Anderson, 2015, León, 2016, Akimoto …
Towards Computer Generation Of Text
J Ceverha – Plan II Honors Theses-Openly Available, 2019 – repositories.lib.utexas.edu
… methodologies. Beyond the Fence does not meaningfully approach the challenge of natural language generation … them t within the larger story. This paper focuses on natural language generation in the format of theatrical scripts. The goal …
Interactive map reports summarizing bivariate geographic data
S Latif, F Beck – Visual Informatics, 2019 – Elsevier
… 1. 3. Content selection. Any natural language generation begins with content determination, which decides on what information would be conveyed (Reiter et al., 2000) … The green path marks the narrative generation for the example in Fig. 1 …
The Employment Status and Support Needs of Persons With Disabilities in Japan: Analysis and Generation of Narrative Using a Narratology and Text Mining
K Seino, Y Haruna, S Ishizaki – Post-Narratology Through …, 2019 – igi-global.com
… The technique of “data mining, machine learning, natural language processing, information retrieval, and knowledge management” is used in text mining (Feldman & Sanger, 2007) … This approach was exemplified by the study of the narrative generation system of Ogata (2015) …
An Approach for Temporal Ordering of Medical Case Reports
R Sarkar, B Nayal, A Joshi – Data Management, Analytics and Innovation, 2019 – Springer
… in deducing time sequence of medical events in biomedical text and has significant application in summarization, narrative generation, and information … case reports contain case-specific treatment information linearly presented as a series of events in natural language text …
Generative design in Minecraft: chronicle challenge
C Salge, C Guckelsberger, MC Green… – arXiv preprint arXiv …, 2019 – arxiv.org
… there- fore decided to introduce an optional bonus challenge, the Chronicle Competition, which adds the task of generating an explicit narrative, captured in natural language text … There are also a wide range of more structural approaches to computational narrative generation …
Character-Centric Storytelling
A Surikuchi, J Laaksonen – arXiv preprint arXiv:1909.07863, 2019 – arxiv.org
… storytelling and album summarization tasks have recently been of focus in the domain of computer vision and natural language processing … comment that language model cre- ation without accounting for these words could ad- versely affect the behavior of narrative generation …
Author-Driven Approaches to Computational Narrative Design for Games
DJ Tree, A Malizia – International Conference on Human-Computer …, 2019 – Springer
… Story analysis combines techniques in Natural Language Translation, Sentiment analysis and applies them to a corpus of stories to gain insights into … in this paper support the need for a change in the methodology for the analysis and scoring of narrative generation systems to …
Can Computers Understand Picture Books and Comics?
M Ueno, K Fukuda, N Mori – Post-Narratology Through …, 2019 – igi-global.com
… In this chapter, picture books and comics are considered representative creative work because they contain multi-modal information represented by natural language and pictures … Further, the popular representation of a narrative utilizes natural language and pictures …
Dynamic Generation of Narrative Discourse that Communicates Character Decision Making
KB Cassell – 2019 – search.proquest.com
… 2.1.2 IPOCL While POCL planning has been shown to be useful for narrative generation, it can still fall short when attempting … 1 Darshak Systems that view cinematic generation as narrative construction use methods similar to those in the natural language generation community …
Artificial intelligence in the cyber security environment
P Vähäkainu, M Lehto – … on Cyber Warfare and Security: ICCWS …, 2019 – books.google.com
… based on technologies such as deep learning, machine learning, natural language processing, reasoning and decision technologies, speech and vision technologies, human interface technologies, semantic technology, dialog and narrative generation, among other …
A Hierarchical Approach for Visual Storytelling Using Image Description
MS Al Nahian, T Tasrin, S Gandhi, R Gaines… – … on Interactive Digital …, 2019 – Springer
… long story sequences, many researchers have chosen to make use of event representations that distill essential information from natural language sentences [4 … Young, RM, Ware, SG, Cassell, BA, Robertson, J.: Plans and planning in narrative generation: a review of plan-based …
Joint event and temporal relation extraction with shared representations and structured prediction
R Han, Q Ning, N Peng – arXiv preprint arXiv:1909.05360, 2019 – arxiv.org
… 1 Introduction The extraction of temporal relations among events is an important natural language understanding (NLU) task that can benefit many downstream tasks such as question answering, information re- trieval, and narrative generation …
A Hierarchical Approach for Visual Storytelling Using Image Description
B Harrison – … : 12th International Conference on Interactive Digital …, 2019 – books.google.com
… sequences, many researchers have chosen to make use of event representations that distill essential information from natural language sentences [4 … abs/1811.05701 (2018) Young, RM, Ware, SG, Cassell, BA, Robertson, J.: Plans and planning in narrative generation: a review …
A general architecture for maintaining a symbolic representation of the semantic game state
E Marriott, A Whittaker – 2019 11th Computer Science and …, 2019 – ieeexplore.ieee.org
… is required for solvers and planners that are used for a number of research areas including narrative generation using planning … Available: http://dl.acm.org/citation.cfm?id=3014752.3014765 [11] WA Woods, “Transition network grammars for natural language analysis,” Commun …
Creative contextual dialog adaptation in an open world RPG
M Hämäläinen, K Alnajjar – … of the 14th International Conference on the …, 2019 – dl.acm.org
… In terms of creative generation of game-related natural language, Fan et al. [7] have build a hierarchical neural network for generating stories … Other game- related approaches to creative narrative generation is discussed by Liapis et al. in [2] …
Impact of artificial intelligence on interventional cardiology: from decision-making aid to advanced interventional procedure assistance
P Sardar, JD Abbott, A Kundu, HD Aronow… – JACC: Cardiovascular …, 2019 – Elsevier
… Cognitive computing, Cognitive computing platforms integrate machine learning, reasoning, natural language processing, speech and object recognition, human–computer interaction, dialog and narrative generation. Computer …
Adaptive Generation of Characters for Tabletop Role Playing Games
FG Faria, LT Pereira… – 2019 18th Brazilian …, 2019 – ieeexplore.ieee.org
… Then, the event is converted back into natural language for the human player [24] … 9, no. 3, pp. 239–253, Sep. 2017. [21] I. Griffith, “Procedural narrative generation through emotionally interesting non-player characters,” Master’s thesis, Linnaeus University, 2018. [Online] …
Designing an algorithm-driven text generation system for personalized and interactive news reading
D Kim, J Lee – International Journal of Human–Computer …, 2019 – Taylor & Francis
… 1 The Associated Press and Forbes have been partnered with narrative generation algorithm developers such as Automated Insights and … Wordsmith, Automated Insights’ natural language generation tool, reads data off a spreadsheet uploaded by the user and generates …
Unsupervised hierarchical story infilling
D Ippolito, D Grangier, C Callison-Burch… – Proceedings of the First …, 2019 – aclweb.org
… Scheherazade: Crowd-powered interactive narrative generation … In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th Interna- tional Joint Conference on Natural Language Pro- cessing of the AFNLP: Volume 1-Volume 1, pages 217–225 …
Intelligent collaborative patent mining using excessive topic generation
UH Govindarajan, AJC Trappey, CV Trappey – Advanced Engineering …, 2019 – Elsevier
… The knowledge discovery stage relates to visualization, validations, cross-referencing, and narrative generation for decision making … Example 1, below shows tokenization on natural language user input. Example 1 : Tokenization data. • …
Visual Understanding and Narration: A Deeper Understanding and Explanation of Visual Scenes
SM Lukin, C Bonial, CR Voss – arXiv preprint arXiv:1906.00038, 2019 – arxiv.org
… 3 Narrative Building Once the visual scene is interpreted, we determine what is needed to answer the task question via con- tent selection and narrative generation. 3.1 Generation Gaps … Birte Lönneker. 2005. Narratological Knowledge for Natural Language Generation …
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 as BLEU [129] or PINC [41] scores …
Transforming transcripts into stories: A multimethod approach to narrative analysis
A Nasheeda, HB Abdullah… – … Journal of Qualitative …, 2019 – journals.sagepub.com
Stories are essential realities from our past and present. As the primary sources of data in narrative research, interview transcripts play an essential role in giving meaning to the personal stori…
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 …
The Book of Endless History: Authorial Use of GPT2 for Interactive Storytelling
J Austin – International Conference on Interactive Digital …, 2019 – Springer
… human-written articles, and in some cases, more believable [4]. Further, and of interest in the narrative generation domain, the … 1. Honnibal, M., Montani, I.: spaCy 2: natural language understanding with bloom embeddings, convolutional neural networks and incremental parsing …
Humour-in-the-loop: Improvised Theatre with Interactive Machine Learning Systems
KW Mathewson – 2019 – era.library.ualberta.ca
… audience evaluation of Turing test-inspired live improvised performance using ALEx. Two novel contributions to machine-assisted narrative generation are then presented and discussed … 94 5 Information-Theoretic Narrative Generation 96 5.1 Introduction …
Felt: A Simple Story Sifter
M Kreminski, M Dickinson, N Wardrip-Fruin – International Conference on …, 2019 – Springer
… Unlike many existing sifters, Dwarf Grandpa also performs the natural language generation needed to automatically present sifted stories as human … Rules-based simulationist narrative generation systems often provide some way for events to be directly dependent on or make …
Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters
E Kim, R Klinger – arXiv preprint arXiv:1903.12453, 2019 – arxiv.org
… derived from Shakespeare’s plays can be explained by a general sociological model (Nal- isnick and Baird, 2013); in the task of narrative generation (Sack, 2013 … In Proceedings of the Sixth International Joint Confer- ence on Natural Language Processing, pages 1202– 1208 …
CONAN–COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech
YL Chung, E Kuzmenko, SS Tekiroglu… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. arXiv:1910.03270v1 [cs.CL] 8 Oct 2019 CONAN – COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech Yi-Ling Chung1,2, Elizaveta Kuzmenko2, Serra Sinem Tekiro?glu1, and Marco Guerini1 …
Manipulating Narrative Salience in Interactive Stories Using Indexter’s Pairwise Event Salience Hypothesis
R Farrell, SG Ware, LJ Baker – IEEE Transactions on Games, 2019 – ieeexplore.ieee.org
… There are comparatively few works that focus specifically on influencing user behavior [24]. Roberts and Isbell were able to influence players using player models and concepts from social psychology, discourse analysis, and natural language generation [25]. El Nasr et al …
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
… that use natural language dialogue capabilities to provide automated scaffolding functionalities for collaborative narrative-centered learning environments is a promising direction. Second, investigating computational models of collaborative narrative generation that leverage …
Designing and Developing Interactive Narratives for Collaborative Problem-Based Learning
JP Rowe, A Saleh, KD Glazewski… – … on Interactive Digital …, 2019 – books.google.com
… language dialogue capabilities to pro- vide automated scaffolding functionalities for collaborative narrative-centered learning Page 114. 98 BW Mott et al. environments is a promising direction. Second, investigating computational models of collaborative narrative generation …
Character Identification Refined: A Proposal
L Jahan, M Finlayson – Proceedings of the First Workshop on Narrative …, 2019 – aclweb.org
… Graham Alexander Sack. 2013. Character Networks for Narrative Generation: Structural Balance The- ory and the Emergence of Proto-Narratives … In the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 769–774, Lisbon, Portugal …
An attempt of the commercial film production support system based on the image rhetoric of commercial film
Y Kawamura – Post-narratology through computational and cognitive …, 2019 – igi-global.com
… Figure 7 illustrates an abstract process using the CFPSS. Based on input keywords or sentences, the system extracts items using the natural language processing software ChaSen (Matsumoto et al., 1999), and makes the nouns, adjectives, and verbs a query …
Replicating “Extracting Action and Event Semantics from Web Text”
L Carlin – pdfs.semanticscholar.org
… Page 3. 1.2 Application to Narrative Generation One planning problem that would greatly benefit from larger action datasets is narrative generation … Information about typical event sequences can be used for narrative generation (see for example Martin et al …
Blogging birds: telling informative stories about the lives of birds from telemetric data
A Siddharthan, K Ponnamperuma, C Mellish… – Communications of the …, 2019 – dl.acm.org
… An important but relatively re- cent addition to the growing field of data science is a technology called natural language generation15 that automates the entire data pipeline to produce tex- tual reports from data, whether numeric or structured …
Linguistic markers of autism in girls: evidence of a “blended phenotype” during storytelling
J Boorse, M Cola, S Plate, L Yankowitz, J Pandey… – Molecular autism, 2019 – Springer
… Because individuals with ASD narrate in a way that is unique to their diagnostic group, narrative generation and retelling … Furthermore, our research suggests that objective technology-based measurement tools (eg, natural language processing) could prove useful for extracting …
Balancing Consistency and Plot Structure in Computational Storytelling
P Khalpada, S Garg – 2019 IEEE 10th Annual Information …, 2019 – ieeexplore.ieee.org
… In addition to natural language generation, it includes aspects, like representational order of story events, length of description of events and story elements, etc … [26] B.-C. Bae and RM Young, “A computational model of narrative generation for surprise arousal,” IEEE …
Rule-Based Method to Develop Question-Answer Dataset from Chest X-Ray Reports
J Wang, H Lv, R Jiang, Z Xie – 2019 IEEE 32nd International …, 2019 – ieeexplore.ieee.org
… 2016: 21-29. [9] Shin A, Ushiku Y, Harada T. Customized Image Narrative Generation via Interactive Visual … [12] Collobert R, Weston J, Bottou L, et al. Natural language processing (almost) from scratch[J]. Journal of Machine Learning Research, 2011, 12(Aug): 2493-2537 …
Representing Social Common-Sense Knowledge in MEXICA
RP y Pérez – Computational Creativity, 2019 – Springer
… Because we do not understand yet how narrative generation works in humans, this seems an adequate tactic for computer-based plot generators … written in a rigid format designed to make it easier to process this information (the program does not work with natural language) …
Designing Narrative Slideshows for Learning Analytics
Q Chen, Z Li, TC Pong, H Qu – 2019 IEEE Pacific Visualization …, 2019 – ieeexplore.ieee.org
Page 1. Designing Narrative Slideshows for Learning Analytics Qing Chen* Zhen Li† Ting-Chuen Pong‡ Huamin Qu§ Hong Kong University of Science and Technology Figure 1: The overview map on the left demonstrates the …
Induction and Reference of Entities in a Visual Story
RP Dong, KR Chandu, AW Black – arXiv preprint arXiv:1909.09699, 2019 – arxiv.org
… Several research efforts for narrative generation tasks have spawned from introducing a schema or a skeleton. Mar- tin et al.; Clark, Ji, and Smith (2018; 2018) explored the us- age of event representations and predicting successive event forms to generate the entire story …
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 …
Plot-creation support with plot-construction model for writing novels
A Ashida, T Kojiri – Journal of Information and Telecommunication, 2019 – Taylor & Francis
When starting to write a novel, an author often creates a structure for it, which is called the plot. The format of plots is not defined, and authors create plots using their own format. Unfortunat…
Distributional semantics of objects in visual scenes in comparison to text
T Lüddecke, A Agostini, M Fauth, M Tamosiunaite… – Artificial Intelligence, 2019 – Elsevier
… This study sets out to test this hypothesis on images. For the definition of meaning in the above sense, natural language processing (NLP) uses semantic vectors, which represent word-neighborhoods in a sentence … Natural language processing …
Screenwriting for new film mediums: Conceptualizing visual models for interactive storytelling
G Ogle – Journal of Screenwriting, 2019 – ingentaconnect.com
… Cage says, ‘Technology is a tool, not a goal’ (2009). Although looking towards the crea- tion of new technologies and new ways to interact (like natural language), he urges authors to forget about technology, and rather focus on new ways to tell stories …
Fiction Sentence Expansion and Enhancement via Focused Objective and Novelty Curve Sampling
Y Safovich, A Azaria – arXiv preprint arXiv:1912.00698, 2019 – arxiv.org
… In the literature, most narrative generation methods have been ex- tractive, meaning chosen words or connections are present in … Schwenk, Lo?c Barrault, and Antoine Bordes, ‘Supervised learning of universal sentence representa- tions from natural language inference data’, in …
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
… 2009). Reagan et al. applied natural language processing and machine learning techniques to more than 1,000 story text data and summarized the patterns of emotional arcs in the stories (Reagan et al., 2016). The increased …
Critique as Creativity: Towards Developing Computational Commentators on Creative Works.
DH Fisher, H Shin – ICCC, 2019 – computationalcreativity.net
… an understanding of the myriad faculties of crea- tivity, which must then be communicated in a persuasive manner, typically in natural language … obvious of which is that criticism represents a literary tradition that is under-represented in computational narrative generation, and in …
Challenges of IDN Research and Teaching
H Koenitz, MP Eladhari – International Conference on Interactive Digital …, 2019 – Springer
… A more recent example is that of TellTale Games, which had started a team to work on a title applying narrative generation [25] led by Stacey Mason … Weizenbaum, J.: ELIZA—a computer program for the study of natural language communication between man and machine …
Computational creativity infrastructure for online software composition: A conceptual blending use case
P Martins, HG Oliveira, JC Gonçalves… – IBM Journal of …, 2019 – ieeexplore.ieee.org
… 2 http://concreteflows.ijs.si Figure 1 The user interface of ConCreTeFlows with an example of a workflow with TextStorm and DivagoFlow as central modules: a blend is produced from textual descriptions of concepts in natural language. Page 3 …
Reverend Robot: Automation And Clergy
W Young – Zygon®, 2019 – Wiley Online Library
… It is even possible that one or more of these steps could combine narrative generation with an “interest model” to gauge … Users interact via a natural language interface; the systems are generally quite good at voice recognition, natural language understanding, and carrying out …
Extraction and analysis of fictional character networks: A survey
V Labatut, X Bost – ACM Computing Surveys (CSUR), 2019 – dl.acm.org
Page 1. 89 Extraction and Analysis of Fictional Character Networks: A Survey VINCENT LABATUT, Laboratoire Informatique d’Avignon – LIA EA 4128 XAVIER BOST, Orkis and Laboratoire Informatique d’Avignon – LIA EA 4128 …
Analyzing Behavior of ISIS and Al-Qaeda using Association Rule Mining
T Goyal, JK Saini, D Bansal – Proceedings of 2nd International Conference …, 2019 – Springer
… Natural Language Processing (NLP), event clustering, event trending, and narrative generation. [15]. Stochastic Opponent Modeling Agents (SOMA) …
Diverse Decoding for Abstractive Document Summarization
XW Han, HT Zheng, JY Chen, CZ Zhao – Applied sciences, 2019 – mdpi.com
… There are also many other research fields like data mining, chat bot, narrative generation, etc., having a strong connection … Abstractive summarization is considered to be much more difficult, for it involves sophisticated techniques like natural language understanding, knowledge …
Dynamic emphatical narration for reduced authorial burden and increased user freedom in interactive storytelling
G Méndez, R Hervás, P Gervás, A Martín… – Connection …, 2019 – Taylor & Francis
… 2010). Narrative generation through characters’ point of view … game. From this system review, we can conclude there is still a lot of work to be done in the field of narrative generation, and in particular of interactive narrative …
Learning Function-Specific Word Representations
D Gerz, I Vuli?, M Rei, R Reichart, A Korhonen – 2019 – openreview.net
… Word representations are in ubiquitous usage across all areas of natural language processing (NLP) (Collobert et al., 2011; Chen & … event representations are important to many core areas in language understanding such as script learning, narrative generation, and discourse …
DARPA’s explainable artificial intelligence program
D Gunning, DW Aha – AI Magazine, 2019 – researchgate.net
… interface allows users to navigate thousands of learned agent decisions and obtain visual and natural language (NL) explanations … Model Explanation Interface Both UCB Deep Learning Reflexive and Rational CRA Causal Model Induction Narrative Generation UCLA Pattern …
Classification of Characters in Movie by Correlation Analysis of Genre and Linguistic Style
ES You, JW Song, SB Park – ????????????, 2019 – dbpia.co.kr
… 1. Data for Experiment ? ??? ???????? ?????(UCSC)? NLDS (Natural Language And Dialogue Systems) ?(lab)?? ?? ? ?? ??? 1.0(Film Corpus 1.0)? … [1] Li, B. and Riedl, MO, “Scheherazade: Crowd-Powered Interactive Narrative Generation,” Proc …
Augmenting Music Listening Experiences on Voice Assistants.
M Behrooz, S Mennicken, J Thom, R Kumar… – ISMIR, 2019 – pdfs.semanticscholar.org
… Each segue has a natural language generation (NLG) template result- ing in a “segue text” when realized … Plans and planning in narrative generation: a review of plan-based approaches to the generation of story, discourse and interactivity in narra- tives …
Hierarchical Style Modeling: A Generative Framework for Style-Centric Generation of 3D Models
S Mazeika – 2019 – escholarship.org
… symbol which gives the grammar a jumping-off point for its generative process. The canonical example of a grammar is natural language – in fact, formal 10 Page 26. grammars owe their name to the grammars of natural language. In English, for …
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps
SF Chang, A Hauptmann, LP Morency, S Antani… – arXiv preprint arXiv …, 2019 – arxiv.org
… More recently, multimodal translation has seen renewed interest due to combined efforts of the computer vision and natural language processing communities [Bernardi et al., 2016], tackling problems such as image description [Vinyals et al., 2014] and video captioning …
Evaluating cloud microservices with director
M França, C Werner – 2019 IEEE International Conference on …, 2019 – ieeexplore.ieee.org
… These platforms encompass machine learning, reasoning, natural language processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, among other technologies [36] …
SIMPLE C
AC Graesser, JA DeFalco… – … for Intelligent Tutoring …, 2019 – books.google.com
… of natural language processing and intelligent systems … advanced learning technologies, with an emphasis on game-based learning environments, intelligent tutoring systems, user modeling, educational data mining, and computational models of interactive narrative generation …
Simple Humans, Evolving Computation, Smart Intelligent Tutoring Systems
AC Graesser, JA DeFalco, JL Cockroft – … for Intelligent Tutoring … – tradem.gifttutoring.org
… 178 of natural language processing and intelligent systems … learning technologies, with an emphasis on game-based learning environments, intelligent tutoring systems, user modeling, educational data mining, and computational models of interactive narrative generation …
People and machines: Partners in innovation
S Barro, TH Davenport – MIT Sloan Management Review, 2019 – search.proquest.com
… For example, recent advances in natural language generation enable organizations to … Leading companies such as USAA, an insurance and financial services company, are working along multi- ple lines — chatbots, virtual assistants, and narrative generation — to facilitate …
The Cognitive Internet Of Things
AA Wiktorzak, A Sawicki, T Ku?mierowski… – Polish Journal of …, 2019 – 82.139.152.144
… lan- guage processing, speech recognition and vision (object recognition), human–computer interaction, dialog and narrative generation, among other … industry, IBM developed the cognitive system, ie, Waston, which could process and reason about natural language and learn …
Toward AI Systems that Augment and Empower Humans by Understanding Us, our Society and the World Around Us
J Crowley, AP O’Sullivan, A Nowak, C Jonker… – 2019 – humane-ai.eu
… This section describes enabling technologies and lists required innovations in a broad spectrum of areas including Machine Learning, Computer Vision, Robotics, Human Computer Interaction, Natural Language Processing and Conversational AI …
Artificial general intelligence in games: Where play meets design and user experience
R Thawonmas, J Togelius, GN Yannakakis – 2019 – pure.itu.dk
… Based on this input, the ideal algorithms to process them would revolve around Computer Vision (including object detection and classification, optical character recognition and others), signal processing (especially for game audio), natural language processing (for text-based …
Artificial Authors
NI Brown – Science and Technology Law Review, 2019 – journals.library.columbia.edu
… uses natural language generation to turn data into a written, plain-language narrative. It has been used by Yahoo! Sports to write draft reports, match previews, and match recaps,58 and by the Orlando Magic and other organizations for automated narrative generation.59 Still in …
Conceptual Representations for Computational Concept Creation
A CARDOSO, J CORREIA, P MACHADO, P MARTINS… – 2019 – eecs.qmul.ac.uk
… For instance, the conceptual information that wine is a drink could be extracted from the natural language expression “wine and other drinks.” For an overview of information extraction methods, see, for example, the work of Sarawagi (2008) …
Action-oriented Scene Understanding.
T Lüddecke – 2019 – ediss.uni-goettingen.de
… 13, 16, 17, 142 NLP Natural language processing … We do not only adapt methods from computer vision and robotics but also from related fields such as natural language processing. In this chapter, we introduce the foundations re- quired to understand the subsequent chapters …
Director: A Cloud Microservice Selection Framework
M de França Costa – 2019 – cos.ufrj.br
… MSA Microservice Architecture NLP Natural Language Processing OSS Open Source Software … different viewpoints and priorities. Additionally, the strategies were evolved so that they could even include the understanding of natural language, which makes the framework …
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 …
A Deep Learning Approach to generate Beethoven’s 10th Symphony
P Muñoz Lago – 2019 – eprints.ucm.es
Page 1. A Deep Learning Approach to generate Beethoven’s 10th Symphony Trabajo de Fin de Grado Curso 2018 2019 Autor Paula Muñoz Lago Director Gonzalo Méndez Pozo Grado en Ingeniería Informática Facultad de Informática Universidad Complutense de Madrid …
Patent Value Analysis Using Deep Learning Models—The Case of IoT Technology Mining for the Manufacturing Industry
AJC Trappey, CV Trappey… – IEEE Transactions …, 2019 – ieeexplore.ieee.org
… The analysis stage applies various algorithms and models to transform the prepared data into meaningful inferences. The knowledge discovery stage relates to visualiza- tion, validation, cross-referencing, and narrative generation for strategic decision making …
Making Good On The Promise Of
UL More – 2019 – marketing.mitsmr.com.s3 …
… For example, recent advances in natural language generation enable organizations to … Leading companies such as USAA, an insurance and financial services company, are working along multi- ple lines — chatbots, virtual assistants, and narrative generation — to facilitate …
Leveraging LSTM in the fine-grained analysis of the Incubation Effect in Physics Playground
MMP TALANDRON-FELIPEab… – … on Computers in …, 2019 – ir.canterbury.ac.nz
Page 48. 11 MAIN CONFERENCE C1 ARTIFICIAL INTELLIGENCE IN EDUCATION/ INTELLIGENT TUTORING SYSTEM (AIED/ITS) AND ADAPTIVE LEARNING -FULL PAPER- LEVERAGING LSTM IN THE FINE-GRAINED ANALYSIS …