Natural Language & Narrative Technology

Notes:

Narrative technology is a type of technology that uses natural language processing (NLP) algorithms to analyze and generate human-like narratives. It is often used in a variety of applications, including storytelling, journalism, and customer service, to create engaging and compelling stories, articles, and other written content.

Narrative technology leverages natural language by analyzing the words and phrases used in a piece of text, and by using this analysis to generate new text that is similar in style and content to the original text. This is done using NLP algorithms, which are designed to understand the meanings of words and phrases, and to generate text that is grammatically correct and follows the rules of natural language.

In a narrative technology system, the user provides a piece of text, such as a story or an article, as input to the system. The system then uses NLP algorithms to analyze the text, and to identify the key words and phrases that are used in the text. It then uses this analysis to generate new text that is similar in style and content to the original text, and that uses the same words and phrases in a similar context. This allows the system to create new narratives that are similar to the original text, but that are also unique and original.

Overall, narrative technology leverages natural language by using NLP algorithms to analyze and generate text that is similar in style and content to the original text. This allows the technology to create engaging and compelling narratives that are similar to the input text, but that are also original and unique.

  • Autonomous character is a fictional character that is capable of acting independently and making decisions on its own. In the context of artificial intelligence and narrative technologies, an autonomous character might be a computer-generated character that is capable of interacting with users or other characters in a realistic and believable way.
  • Character network is a group of characters that are interconnected and related to each other in some way. In the context of artificial intelligence and narrative technologies, a character network might be used to represent the relationships and interactions between different characters in a story or scenario.
  • Character plan is a detailed description of a character’s goals, motivations, and behaviors. In the context of artificial intelligence and narrative technologies, a character plan might be used to guide the actions and decisions of an autonomous character, or to help create a more realistic and believable character.
  • Narrative extraction is the process of extracting or identifying the narrative structure and elements of a story or text. In the context of artificial intelligence and narrative technologies, narrative extraction might involve identifying the characters, events, and conflicts in a story, as well as the relationships and interactions between those elements.
  • Narrative generation is the process of automatically creating a story or narrative using artificial intelligence or other computational techniques. In the context of artificial intelligence and narrative technologies, narrative generation might involve generating text or other content that tells a coherent and compelling story, or that simulates the actions and behaviors of autonomous characters.
  • Narrative technologies are technologies that are used for creating, analyzing, or interacting with stories or narratives. These technologies can include artificial intelligence, natural language processing, and other computational techniques, as well as specialized software and tools that are designed for creating or analyzing narratives. Narrative technologies are used in a variety of applications, including entertainment, education, and communication.

Resources:

References:

See also:

Interactive Fiction Meta Guide

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 …

Abstractions for Narrative Comprehension Tasks.
YC Chen, J Robertson, A Jhala – INT/WICED@ AIIDE, 2018 – ceur-ws.org
… In: H. Wu, M. Si, A. Jhala (eds.): Proceedings of the Joint Workshop on Intelligent Narrative Technologies and Workshop on … Many early approaches [GJWCL61, Sho74, HSSS78] were information retrieval systems which translated natural language questions into logical queries …

Personality-dependent content selection in natural language generation systems
RMS Ramos, DS Monteiro… – Journal of the …, 2020 – journal-bcs.springeropen.com
… Research; Open Access; Published: 29 April 2020. Personality-dependent content selection in natural language generation systems … For a detailed discussion on this architecture, we refer to [12]. Customised natural language generation …

Supporting children’s math learning with feedback-augmented narrative technology
S Ruan, J He, R Ying, J Burkle, D Hakim… – Proceedings of the …, 2020 – dl.acm.org
… Lopes. 2010. Maths4Kids: telling stories with Maths. In Proceedings of the Intelligent Narrative Technologies III Workshop. 1 … Bull. 2006. Bringing chatbots into education: Towards natural language negotiation of open learner models. In …

WordBricks: Mobile technology and visual grammar formalism for gamification of natural language grammar acquisition
M Purgina, M Mozgovoy… – Journal of Educational …, 2020 – journals.sagepub.com
… Download article citation data for: WordBricks: Mobile Technology and Visual Grammar Formalism for Gamification of Natural Language Grammar Acquisition. Marina Purgina, Maxim Mozgovoy, and John Blake. Journal of Educational Computing Research 2019 58:1, 126-159 …

A skeleton-based model for promoting coherence among sentences in narrative story generation
J Xu, X Ren, Y Zhang, Q Zeng, X Cai, X Sun – arXiv preprint arXiv …, 2018 – arxiv.org
… The K in Equa- tion 5 is set to 1. Due to the lack of annotated enti- ties and dependency parsing labels, we use a pop- ular natural language processing toolkit, Spacy2, to extract entities and dependency parsing labels in the EE-Seq2Seq and DE-Seq2Seq models …

Extending Narrative Planning Domains with Linguistic Resources.
J Porteous, JF Ferreira, A Lindsay, M Cavazza – AAMAS, 2020 – joaoff.com
… branching narratives). The underlying idea is to use natural language labels of planning domain elements to generate related concepts using lexical relations between these labels and other terms in online lexical resources. Hence …

Narrative Knowledge Representation and Blockchain: A Symbiotic Relationship
L Sabri, A Boubetra – International Conference on Advanced Information …, 2020 – Springer
… Zarri, GP: NKRL a knowledge representation language for narrative natural language processing … Reijers, W., Coeckelbergh, M.: The blockchain as a narrative technology: investigating the social ontology and normative configurations of cryptocurrencies. Philos. Technol …

Villanelle: Towards Authorable Autonomous Characters in Interactive Narrative
C Martens, O Iqbal, S Azad, M Ingling, A Mosolf… – INT/WICED …, 2018 – ceur-ws.org
… In: H. Wu, M. Si, A. Jhala (eds.): Proceedings of the Joint Workshop on Intelligent Narrative Technologies and Workshop on Intelligent Cinematography and Editing, Edmonton, Canada … Integrating plot, character and natural language processing in the interac- tive drama façade …

Comparing Speech and Text Input in Interactive Narratives
D Gonzalez, AS Gordon – 23rd International Conference on Intelligent …, 2018 – dl.acm.org
… 2017. Unsupervised Text Classification for Natural Language Interactive Narratives. In Proceedings of the 10th International Workshop on Intelligent Narrative Technologies, Snowbird, Utah, October 5-6, 2017. 2. Marc Cavazza, Jean-Luc Lugrin, David Pizzi, and Fred Charles …

Movie Plot Analysis via Turning Point Identification
P Papalampidi, F Keller, M Lapata – arXiv preprint arXiv:1908.10328, 2019 – arxiv.org
… Computational literary analysis works at the inter- section of natural language processing and literary studies, aiming to evaluate various theories of sto- rytelling (eg, by examining a collection of works within a single genre, by an author, or topic) and to develop tools which aid …

Dimensions of personalization in a narrative pedagogical simulation for Alzheimer’s caregivers
LA Chauveau, N Szilas, AL Luiu… – 2018 IEEE 6th …, 2018 – ieeexplore.ieee.org
… fly, based on conditions on the state of an internal model, • Actions themselves are generated dynamically, based on a logical description of the action and Natural Language Generation techniques … Precise personalization is made possible by interactive narrative technologies …

Exploring string-based “almost joins” for commonsense event intent and reaction annotations
M Sap – 2018 – courses.cs.washington.edu
… Using narrative functions as a heuristic for relevance in story understanding. In Proceedings of the Intelligent Narrative Technologies III Workshop, page 9. ACM, 2010 … A large annotated corpus for learning natural language infer- ence. In EMNLP, 2015 …

Playing with Persiflage: The Impact of Free-Form Dialogue on the Play of Computer Role Playing Games
B Cheng, TCN Graham – … on Entertainment Computing and Serious Games, 2019 – Springer
… Routledge (1949)Google Scholar. 14. Lessard, J.: Designing natural-language game conversations … In: Proceedings of the Intelligent Narrative Technologies III Workshop (INT3 2010), p. 8 (2010)Google Scholar. 23. Ubisoft: Assassin’s Creed II (2009)Google Scholar. 24 …

A Brief Introduction to Natural Language Generation within Computational Creativity
B Burtenshaw – … on Computational Creativity in Natural Language …, 2018 – aclweb.org
… In short, Computational Creativity within Natural Language Generation is by no means an under- developed research trajectory; however … of Narrative workshop, International Con- ference on Interactive Digital Storytelling, the In- telligent Narrative Technologies workshop series …

Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue
KW Mathewson, PS Castro, C Cherry, G Foster… – arXiv preprint arXiv …, 2019 – arxiv.org
Page 1. Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue Kory W. Mathewson* 1 Pablo Samuel Castro 2 Colin Cherry 3 George Foster 3 Marc G. Bellemare 2 Abstract We consider the …

Ex-Tarot: An extended Tarot-based narrative generation
PS Chacón, M Eger – 2019 IV Jornadas Costarricenses de …, 2019 – ieeexplore.ieee.org
… dairector: Automatic story beat generation through knowledge synthesis. Working Notes of the AIIDE Workshop on Intelligent Narrative Technologies, 2018. [21] Jean-Louis Roubira … [26] Steven Bird, Ewan Klein, and Edward Loper. Natural Language Processing with Python …

An Annotated Corpus of Stories and Gestures for a Robotic Storyteller
A Augello, G Pilato – 2019 Third IEEE International Conference …, 2019 – ieeexplore.ieee.org
… Moreover, fairy tales and children stories are becoming of particular interest within the Natural Language Processing research community … [5] MA Finlayson, “Corpus annotation in service of intelligent narrative technologies.,” in Intelligent Narrative Technologies, 2011 …

Cira: An architecture for building configurable immersive smart-rooms
RR Divekar, M Peveler, R Rouhani, R Zhao… – Proceedings of SAI …, 2018 – Springer
… The second area deals with interpreting and understanding the data from area one, and use it for planning, reasoning, learning, and Natural Language Processing (NLP) to allow the room to make sense of the input … Data exploration using narrative technologies …

Philosophy of Blockchain Technology-Ontologies
N Sfetcu – 2019 – books.google.com
… (Dignum and Dietz 1997) DEMO is related to the Natural Language Information Analysis … Page 17. Using the conceptual framework of narrative technologies, Wessel Reijers and Mark Coeckelbergh have come to the conclusion that blockchain technology actively configures our …

Guided open story generation using probabilistic graphical models
S Gandhi, B Harrison – Proceedings of the 14th International Conference …, 2019 – dl.acm.org
… [6] Albert Gatt and Emiel Krahmer. 2018. Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation … In Proceedings of the 2017 Workshop on Intelligent Narrative Technologies. [10] Lukáš Havrlant and Vladik Kreinovich. 2017 …

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
… The two main AI techniques powering this AI system are: a grammar-based “situated” natural language parser (that uses the perceptual buffers of the NPCs to trans- late text into speech acts represented as first-order … In Eleventh Intelligent Narrative Technologies Workshop …

ARC-WMI: Towards Building Arabic Readability Corpus for Written Medicine Information
A Aldayel, H Al-Khalifa, S Alaqeel, N Abanmy… – OSACT 3: The 3rd …, 2018 – lrec-conf.org
… Presented at the LREC, pp. 3196–3200. Bowman, SR, Angeli, G., Potts, C., Manning, CD, 2015. A large annotated corpus for learning natural language inference. arXiv preprint arXiv: 1508.05326 … Presented at the Intelligent Narrative Technologies. Hewitt, M., 2012 …

Metaphor detection by deep learning and the place of poetic metaphor in digital humanities
C Tanasescu, V Kesarwani, D Inkpen – The Thirty-First International Flairs …, 2018 – aaai.org
… This web application works for not just poetry, but also for any natural language text and will be available for public use shortly once we complete the hosting … In Intelligent Narrative Technologies: Papers from the 2012 AIIDE Workshop, AAAI Technical Report WS-12-14, 38–43 …

Adapting a Conversational Text Generator for Online Chatbot Messaging
LC Klopfenstein, S Delpriori, A Ricci – International Conference on Internet …, 2018 – Springer
… In: Proceedings of the AIIDE Workshop, Intelligent Narrative Technologies 2014, pp. 64–67 (2014) … Weizenbaum, J.: ELIZA—a computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966) …

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 domain of Little Red Riding Hood. The story structure is created through the use of a finite state narrative planner …

Consideration of Fundamental Methods and Principles for Human-Computer Co-Creation of Narratives
T Akimoto, T Ogata – Post-Narratology Through Computational and …, 2019 – igi-global.com
… The long-term goal of this study is to vitalize humans’ narrative creation by developing generative narrative technology … This type of knowledge is applicable to various tasks of natural language processing, such as understanding and summarization, and also provides a basic …

Villanelle: Towards Authorable Autonomous Characters in Interactive Narrative
O Iqbal – 2019 – repository.lib.ncsu.edu
… Innovations in intelligent narrative technologies have continued to accelerate, but elude adop- tion by a broad and diverse audience of storytellers … Inform7 is a rules-based, natural language style scripting framework that allows one to craft quality based narratives [Ree10] …

Story Generation with Deep Reinforcement Learning
N Dass – 2018 – smartech.gatech.edu
… (2017) to improve the conversion of events back into natural language … MO Riedl, “Toward automated story generation with markov chain monte carlo methods and deep neural networks.,” in Proceedings of the 2017 AAAI Workshop on Intelligent Narrative Technologies, 2017 …

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
… 2005. Narratological Knowledge for Natural Language Generation. In Proceedings of the Tenth European Workshop on Natural Language Generation (ENLG-05) … In AAAI Spring Symposium: Intelligent Narrative Technologies II, pages 83–90. Cesc C Park and Gunhee Kim …

Predicting generated story quality with quantitative measures
C Purdy, X Wang, L He, M Riedl – Fourteenth Artificial Intelligence and …, 2018 – aaai.org
… In Proceedings of the 2017 Workshop on Intelligent Narrative Technologies. Heilman, M.; Cahill, A.; Madnani, N.; Lopez, M.; Mulhol- land, M.; and Tetreault, J. 2014. Predicting grammatical- ity on an ordinal scale … The stanford corenlp natural language processing toolkit …

Character Identification Refined: A Proposal
L Jahan, M Finlayson – Proceedings of the First Workshop on Narrative …, 2019 – aclweb.org
… in Natural Language Processing (EMNLP), pages 769–774, Lisbon, Portugal. Josep Valls-Vargas, Santiago Ontanón, and Jichen Zhu. 2014. Toward automatic character identification in unannotated narrative text. In the 7th Intelligent Narrative Technologies Workshop (INT7 …

The Art of Narration and Artificial Narrative Intelligence: Implications for Interdisciplinary Research
IA Livytska – Journal of Narrative and Language Studies, 2019 – researchgate.net
… of representation in writing, and cognitive models of creative writing (Bereiter &Scardamalia, 1987), Mind Theory (Minsky, 1981) and conceptualisations of natural language (see Davis&Travers … Presented at The Intelligent Narrative Technologies III Workshop, ACM, New York …

Virtual Environment Positioning Utilizing Play-Script Spatiotemporal Reasoning
C Talbot, GM Youngblood – IEEE Transactions on Games, 2019 – ieeexplore.ieee.org
… Using natural language processing techniques, we extract the annotated movements from the script, then add additional movements and adjustments from our rules engine built with theater, stage performance, and human interaction spatio-temporal relationships …

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
… agents perform throughout the narrative. 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 …

Imaginarium: A Tool for Casual Constraint-Based PCG
I Horswill – 2019 – exag.org
… Tracery : Approachable Story Grammar Authoring for Casual Users. Papers from the 2014 AIIDE Workshop, Intelligent Narrative Technologies (7th INT, 2014), 64–67 … Inform 7. Nelson, G. (2006b). Natural Language, Semantic Analysis, and Interactive Fiction …

Story Envisioning Framework for Visualized Collective Storytelling in Conversation
Q Zhang, MS Mirzaei, HH Huang, T Nishida – International Conference on …, 2019 – Springer
… In: Eighth Workshop on Intelligent Narrative Technologies (2015)Google Scholar. 7. Mirzaei, MS, Zhang, Q., Nishida, T.: Conversation envisioning to train inter-cultural interactions … Ma, M.: Automatic Conversion of Natural Language to 3D Animation …

Neural Networks for Narrative Continuation
M Roemmele – 2018 – roemmele.github.io
… the point of recognizing only a few utterances for advancing the story. Natural language input has an infinite number of possible forms, and narrative technologies have been challenged to account for this productivity. In this …

Hey Siri, tell me a story: Digital storytelling and AI authorship
S Thorne – Convergence, 2020 – journals.sagepub.com
Surveying narrative applications of artificial intelligence in film, games and interactive fiction, this article imagines the future of artificial intelligence (AI) authorship and explores trends t…

Generating animations from screenplays
Y Zhang, E Tsipidi, S Schriber, M Kapadia… – arXiv preprint arXiv …, 2019 – arxiv.org
… CONFUCIUS (Ma and Kevitt, 2006) is a sys- tem that converts natural language to animation using the FDG parser (Tapanainen and … Previous work related to information extraction for narrative technologies includes the CARDI- NAL system (Marti et al., 2018; Sanghrajka et al …

Not-so-distant reading: A dynamic network approach to literature
M Luczak-Roesch, A Grener, E Fenton – it-Information Technology, 2018 – degruyter.com
Jump to Content Jump to Main Navigation Publications. Subjects. Architecture and Design Arts Asian and Pacific Studies Business and Economics Chemistry Classical and Ancient Near Eastern Studies Computer Sciences Cultural …

Blockchain and Identity Persistence
A Marthews, CE Tucker – Cryptoassets: Legal and Monetary …, 2019 – papers.ssrn.com
… Beyond this, the more that smart contract terms are expressed in self-executing and standardized terms, the further their terms diverge from natural language that the humans … It is currently not possible to translate the natural language of a contract into code via automated …

Leveraging Machinima to Characterize Comprehension of Character Motivation
K Cassell, RM Young – International Conference on Interactive Digital …, 2019 – Springer
… that view cinematic generation as narrative discourse construction use methods similar to those in the natural language generation community … In: Workshop on Intelligent Narrative Technologies at the Ninth Annual AAAI Conference of Artificial Intelligence and Interactive Digital …

Mímisbrunnur: A Mixed-Initiative Authoring Tool for Interactive Storytelling
IS Stefnisson – 2018 – skemman.is
… I explain how the tool functions and introduce its fundamental components, including Natural Language Processing, a Suggestion Generator, and three authoring modules … 11 3.3 Generating Planning Models from Natural Language …

Event2mind: Commonsense inference on events, intents, and reactions
H Rashkin, M Sap, E Allaway, NA Smith… – arXiv preprint arXiv …, 2018 – arxiv.org
Page 1. Event2Mind: Commonsense Inference on Events, Intents, and Reactions Hannah Rashkin†? Maarten Sap†? Emily Allaway† Noah A. Smith† Yejin Choi†‡ †Paul G. Allen School of Computer Science & Engineering …

Emotion Action Detection and Emotion Inference: the Task and Dataset
P Liu, C Du, S Zhao, C Zhu – arXiv preprint arXiv:1903.06901, 2019 – arxiv.org
Page 1. Emotion Action Detection and Emotion Inference: the Task and Dataset Pengyuan Liu , Chengyu Du , Shuofeng Zhao Beijing Language and Culture University liupengyuan@ pku.edu.cn, 2550611409@qq.com, ShuofengZhao@163.com Abstract …

Video-based interactive storytelling using real-time video compositing techniques
ES de Lima, B Feijó, AL Furtado – Multimedia Tools and Applications, 2018 – Springer
… The second interaction mechanism combines the use of mobile devices (such as smartphones and tablets) with natural language to allow users to freely interact with virtual characters by text or speech … Logical Description. Natural Language Description. Action 1 …

Deep Reinforcement Learning for Interactive Narrative Planning.
P Wang – 2018 – repository.lib.ncsu.edu
… Skerry-Ryan, Stanton, Wu, Weiss, Jaitly, Yang, Xiao, Chen, Bengio & Le, 2017; Mehri et al., 2016; Sotelo et al., 2017), natural language processing and understanding (Kumar et al., 2016; Mikolov et al., 2013; Pennington et al., 2014; Hermann et al., 2015), machine translation …

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 …

A technology-assisted life of recovery from psychosis
D Ben-Zeev, B Buck, S Kopelovich, S Meller – NPJ schizophrenia, 2019 – nature.com
… 13 ] As a part of this follow-up assessment, she recorded several prompted speech samples using her laptop, [Natural Language Processing (NLP) systems with … 52 As demonstrated in Annie’s narrative, technology can be additive to human-delivered, evidence-based treatment …

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 …

Affecting reality
C Ng – A Peer-Reviewed Journal About, 2019 – aprja.net
… games thus provide a gateway to critically engage with the often unspoken aspects of traumatic experiences, as well as systemic factors that enforce contemporary regimes of silence and stigmatization, by interweaving design, gameplay, narrative, technology, and complex …

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 …

Understanding everything NPCs can do: metrics for action similarity in non-player characters
JT Balint, JM Allbeck, R Bidarra – … of the 13th International Conference on …, 2018 – dl.acm.org
Page 1. Understanding Everything NPCs Can Do Metrics for Action Similarity in Non-Player Characters J. Timothy Balint Delft University of Technology jtbalint@tudelft. nl Jan M. Allbeck George Mason University jallbeck@gmu.edu …

Humour-in-the-loop: Improvised Theatre with Interactive Machine Learning Systems
KW Mathewson – 2019 – era.library.ualberta.ca
… (2018) dAIrec- tor: Automatic Story Arc Generation through Knowledge Synthe- sis. Joint Intelligent Narrative Technologies / Intelligent Cinematography and Editing Workshop at AAAI Conference on Artificial Intelligence and Interac- tive Digital Entertainment (AIIDE) …

Drammar: A comprehensive ontological resource on drama
V Lombardo, R Damiano, A Pizzo – International Semantic Web …, 2018 – Springer
… drama, claims a number of statements. These statements have been translated into proto-axioms (ie, axioms expressed in a controlled natural language) and then into formal axioms. These were conceived through a collaboration …

Could Fiction Have an Information History? Statistical Probability and the Rise of the Novel
D Liddle – 2019 – osf.io
… Realism: Victorian Fiction and Other Information Systems (Stanford: Stanford UP, 2008); Cara Murray, Victorian Narrative Technologies in the … using “confusion matrices” created by supervised algorithms that have processed trillions of words of natural-language corpora— not …

DATA agent
MC Green, GAB Barros, A Liapis… – Proceedings of the 13th …, 2018 – dl.acm.org
… Work on dialog generation can trace its roots back at least to ELIZA, an early natural language processing computer which could simulate conversation [37]. Text2dialog transforms monological text into dialog, and agents then act it out [21] …

Understanding Everything NPCs Can Do
JT Balint, JM Allbeck, R Bidarra – Proceedings of FDG, Malmö …, 2018 – visualisation.tudelft.nl
Page 1. Understanding Everything NPCs Can Do Metrics for Action Similarity in Non-Player Characters J. Timothy Balint Delft University of Technology jtbalint@tudelft. nl Jan M. Allbeck George Mason University jallbeck@gmu.edu …

Story-telling maps generated from semantic representations of events
L Tateosian, M Glatz, M Shukunobe – Behaviour & Information …, 2020 – Taylor & Francis
… 2013; Rishes et al. 2013; Cheong and Young 2015; O’Neill and Riedl 2014). At the same time, natural language processing is evolving to enable automatic extraction of spatial events from stories authored by humans (Li et al. 2006; Kordjamshidi, Otterlo, and Moens 2011) …

Combining intentionality and belief: Revisiting believable character plans
A Shirvani, R Farrell, SG Ware – Fourteenth Artificial Intelligence and …, 2018 – aaai.org
… First we translate all actions into short sentences using a simple natural language template … In Proceedings of the 10th workshop on Intelligent Narrative Technologies at the 13th AAAI International Con- ference on Artificial Intelligence and Interactive Digital En- tertainment, 244 …

Digital hermeneutics: philosophical investigations in new media and technologies
A Romele – 2019 – books.google.com
Page 1. ©– Ê = Z3 ºg\Z Z\ È ! :=) = 25- È Lu E = § = È = g {\/\? L-1 ± 35 ? Ñ\}? § ‘ ? ? Z\| § ? ~ ?~ ~4 %/ \ / J? =ES ?s | L-1 = 3?5/\Z § ? ~ ~ € ŠE E<</\ / 1 d.? i–?/\ ? = Ë ? EZŽ?? \?\_? šº …

Simplifying humanitarian assistance/disaster relief analytic models using activity-based intelligence
DV Widener, TA Mazzuchi, S Sarkani – Disaster Prevention and …, 2018 – emerald.com
… mathematically executable. Among similar systems, Scheherazade (Li et al., 2012) used a structured natural-language processing approach, and Turkomatic (Kulkarni et al., 2012) used a procedural workflow structure. DESIM …

Safety first: conversational agents for health care
T Bickmore, H Trinh, R Asadi, S Olafsson – Studies in Conversational UX …, 2018 – Springer
… If the system allows natural language input, it is essential to incorporate different recovery strategies for both misunderstanding and non … 8th Workshop on Intelligent Narrative TechnologiesGoogle Scholar. Bazzi I (2002) Modelling out-of-vocabulary words for robust speech …

DeepStealth: game-based learning stealth assessment with deep neural networks
W Min, M Frankosky, BW Mott, J Rowe… – IEEE Transactions …, 2019 – ieeexplore.ieee.org
… among others [63]. Deep learning forms the basis for state-of- the-art techniques for a broad range of classification tasks associated with computer vision, speech recognition, and natural language processing [27]. An approach …

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
YK Dwivedi, L Hughes, E Ismagilova, G Aarts… – International Journal of …, 2019 – Elsevier

A Semi-Automatic Annotation Interface for Named Entity and Relation Annotation on Document Images
MY Akp?nar, B Oral, D Engin, E Emekligil… – 2019 4th …, 2019 – ieeexplore.ieee.org
… Abstract—To be able to use supervised machine learning methods in natural language processing, there is a need of labeled data in large … [6] MA Finlayson, “The Story Workbench: An Extensible Semi- Automatic Text Annotation Tool,” Intelligent Narrative Technologies, 2011 …

A methodology to forecast some attributes of an automatic storyteller’s outputs
I Guerrero Román, R Pérez y Pérez – Connection Science, 2020 – Taylor & Francis
… The Previous Stories were defined by the user of the system; they were written in text files employing a rigid but simple format: Character-1 Story-action Character-2 (MEXICA did not work with natural language) … Workshop on intelligent narrative technologies, Utah …

The Computational Creativity Continuum.
RP y Pérez – ICCC, 2018 – computationalcreativity.net
… The ER model has been applied mostly to natural language generation, eg, storytelling (Pérez y Pérez and Sharples, 2001), and more recently to other areas, eg, interior design … Proceedings of the 2017 Workshop on Intelligent Narrative Technologies, Salt Lake City, Utah …

Leadership in Science Need to Challenge Existing Assumptions
VA Sarabhai – Innovation in Education, 2020 – yojana.gov.in
… terms such as expert systems, decision-support system, knowledge-based systems, machine learning, natural language processing, neural … by offering capabilities such as intelligent game-based learning environments, tutoring systems and intelligent narrative technologies …

The Videogame Affordances Corpus
GR Bentley, JC Osborn – 2019 – exag.org
… Cutting edge research in image captioning has focused on using neural network architectures to generate accu- rate natural language descriptions of real-world … In Proceedings of the Intelligent Narrative Technologies III Workshop, INT3 ’10, 10:1–10:8. New York, NY, USA: ACM …

Partial-Order Ambiguous Observations of Fluents and Actions for Goal Recognition as Planning
J Nelson – 2020 – cs.utah.edu
Page 1. Partial-Order Ambiguous Observations of Fluents and Actions for Goal Recognition as Planning Jennifer Nelson University of Utah UUCS-20-004 School of Computing University of Utah Salt Lake City, UT 84112 USA 26 April 2020 Abstract …

Seagull: A bird’s-eye view of the evolution of technical games research
THD Nguyen, E Melcer, A Canossa, K Isbister… – Entertainment …, 2018 – Elsevier
… 11. Gamification, 11. International Journal of Computer Games Technology (IJCGT). 12. Intelligent Narrative Technologies Workshop (INT), 12. International Journal of Game-Based Learning (IJGBL). 13. Intelligent Technologies for Interactive Entertainment (INTETAIN), 13 …

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 …

Partial-Order, Partially-Seen Observations of Fluents or Actions for Plan Recognition as Planning
JM Nelson, RE Cardona-Rivera – arXiv preprint arXiv:1911.05876, 2019 – arxiv.org
Page 1. Partial-Order, Partially-Seen Observations of Fluents or Actions for Plan Recognition as Planning Jennifer M. Nelson1 and Rogelio E. Cardona-Rivera1, 2 1School of Computing, 2Entertainment Arts and Engineering …

Predicting User Engagement in Longitudinal Interventions with Virtual Agents
H Trinh, A Shamekhi, E Kimani… – Proceedings of the 18th …, 2018 – dl.acm.org
… In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 39–41. [9] Justine Cassell, Hannes Högni Vilhjálmsson, and Timothy Bickmore. 2001 … In Proceedings of the Eighth Workshop on Intelligent Narrative Technologies …

Annotating Player Experience in Telltale Games The Wolf Among Us
JT Murray – 2018 – escholarship.org
Page 1. UC Santa Cruz UC Santa Cruz Electronic Theses and Dissertations Title Annotating Player Experience in Telltale Games The Wolf Among Us Permalink https://escholarship.org/ uc/item/69n1d6tp Author Murray, John Thomas Publication Date 2018 …

Automated Structural Analysis of Interactive Narratives
E Carstensdottir – 2020 – search.proquest.com
Page 1. Page 2. Page 3 …

The ontology of drama
R Damiano, V Lombardo, A Pizzo – Applied Ontology, 2019 – content.iospress.com
In this paper, we describe the ontology of drama called Drammar. Pervasive in old and new media, and relevant from a multi-disciplinary perspective that ranges from literary criticism and semiotics to aesthetics and psychology, the manifestations of.

Who killed Albert Einstein? From open data to murder mystery games
GAB Barros, MC Green, A Liapis… – IEEE Transactions on …, 2018 – ieeexplore.ieee.org
Page 1. 2475-1502 (c) 2018 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

Demystifying blockchain: A critical analysis of challenges, applications and opportunities
N Upadhyay – International Journal of Information Management, 2020 – Elsevier

Puppitor: Building an Acting Interface for Videogames
N Junius – 2019 – escholarship.org
… Additionally, while evaluating Façade’s user interface, Sali et al found that players en- joyed the realtime, natural language understanding version of the game, in spite of the difficulties and systemic breakdowns they encountered, when compared to the more …

Navigating social journalism: A handbook for media literacy and citizen journalism
M Hirst – 2018 – books.google.com
Page 1. NAVIGATING SOCIAL JOURNALISM A Hondbook for Medic Liferocycnd Citizen Journclism MARTIN HIRST Page 2. Navigating Social Journalism Public trust in the once powerful institutions of the News Establishment is declining …

An overview of distance and similarity functions for structured data
S Ontañón – Artificial Intelligence Review, 2020 – Springer
… Feature terms (also known as order-sorted feature structures, or feature logics) (Car- penter 1992) another subset of FOL, that has been frequently used in the case-based reasoning community (Plaza 1995) and in natural language processing (Emele and Zajac 1990; Krieger …