Narrative Generation 2017


Notes:

  • Emergent narrative
  • Narrative generation system
  • Narrative generation systems

See also:

100 Best Narrative Science Videos | Computational Narrative Systems | IDN (Interactive Digital Narrative) | Interactive Narrative & Dialog Systems | Story Intention Graph


Proceedings of the 10th International Conference on Natural Language Generation
JM Alonso, A Bugarín, E Reiter – … on Natural Language Generation, 2017 – aclweb.org
… 168 A model of suspense for narrative generation Richard Doust and Paul Piwek … 14:30–16:30 Workshop: Recent Advances in RST and Related Formalisms (RST 2017) 14:30–16:30 Workshop: Computational Creativity in Natural Language Generation (CC- NLG) …

Comparison Between Variational Autoencoder and Encoder-Decoder Models for Short Conversation
S Asakawa – 2017 – alife-robotics.co.jp
… variational autoencoder, sequential data processing, variational inference, narrative generation. 1. Introduction Conversation includes understanding and generation. Therefore, modeling of conversation play an important role in natural language processing (NLP) and machine …

From computational narrative analysis to generation: a preliminary review
J Valls-Vargas, J Zhu, S Ontañón – … on the Foundations of Digital Games, 2017 – dl.acm.org
… focuses on automatically extracting narrative information from text using natural language processing techniques … cult to extract mostly because of open problems in NLP these are … narrative analysis techniques to generate the models required by narrative generation techniques …

Story Generation from Sequence of Independent Short Descriptions
P Jain, P Agrawal, A Mishra, M Sukhwani… – arXiv preprint arXiv …, 2017 – arxiv.org
… While the narrative generation is itself a grand challenge, metrics to evaluate such a … BLEU and other metrics have their shortcomings even in simpler natural language generation se ings as … In So ware Engineering, Testing, and ality Assurance for Natural Language Processing …

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
A Gatt, E Krahmer – Journal of Artificial Intelligence Research, 2018 – jair.org
… For example, by including insights from narrative generation we may be able to generate more engaging reports and by including insights from … To draw attention to the challenges in nlg evaluation, relating them to similar chal- lenges faced in other areas of nlp, with an …

Event Extraction and Temporal Ordering towards Narrative Model Generation
W James – 2017 – pdfs.semanticscholar.org
… Natural Language Processing (NLP) has had significant progress in the last decade … One aspect of NLP that is less prevalent, however, is narrative generation, the concept of using a computational model to automatically generate narratives, fictional or not …

A Study on Flexibility in Natural Language Generation Through a Statistical Approach to Story Generation
M Vicente, C Barros, E Lloret – … on Applications of Natural Language to …, 2017 – Springer
… NLDB 2017: Natural Language Processing and Information Systems pp 492-498 | Cite as … This paper presents a novel NLG approach that integrates the stages of macroplanning and surface … Winer, DR, Young, RM: Discourse-driven narrative generation with bipartite planning …

A model of suspense for narrative generation
R Doust, P Piwek – … Conference on Natural Language Generation, 2017 – aclweb.org
Abstract Most work on automatic generation of narratives, and more specifically suspenseful narrative, has focused on detailed domain-specific modelling of character psychology and plot structure. Recent work on the automatic learning of narrative schemas suggests an

Leveraging social media to generate narrative for virtual patient simulations
J Velez, T Neal, D Babichenko… – iConference 2017 …, 2017 – ideals.illinois.edu
… State University Abstract This work describes the research and development of semi-automated, user-supervised narrative generation for virtual … our system design: 1) Exploring the utilization of the Open Biomedical Ontologies and other natural language processing tools to …

Aspects of Content Generation Through Narrative Communication and Simulation
T Ogata, S Asakawa – Content Generation Through Narrative …, 2018 – books.google.com
… fields include narrative or story generation, natural language generation, dialogue generation … sci- ence, in particular knowledge representation, natural language processing and generation … the applicable technological objective is to develop narrative generation systems, the …

Simulating Player Behavior for Data-Driven Interactive Narrative Personalization
P Wang, J Rowe, W Min, B Mott, J Lester – 2017 – intellimedia.ncsu.edu
… and Riedl (2014) also applied Robin’s Laws to synthesize sim- ulated users in the verification of collaborative filtering techniques for interactive narrative generation … Normalized learning gain (NLG) is the normalized difference between player’s post-test score and pre-test score …

Interactive narrative personalization with deep reinforcement learning
P Wang, J Rowe, W Min, B Mott… – Proceedings of the …, 2017 – pdfs.semanticscholar.org
… These findings suggest that Q-networks show significant promise for solving high- dimensional complex interactive narrative generation tasks compared to … Since CRYSTAL ISLAND is designed to achieve educational objectives, we adopt normalized learning gain (NLG) as a …

Constructing narrative using a generative model and continuous action policies
ET Chourdakis, JD Reiss – 2017 – qmro.qmul.ac.uk
… Using the Stanford NLP parser, we ex- tract the Universal Dependencies (Chen and … The narrative generation capac- ity is limited among other things by the corpus it … In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, EMNLP 2014 …

Merits of Hierarchical Story and Discourse Planning with Merged Languages
DR Winer, RM Young – 2017 – liquidnarrative.cs.utah.edu
… Our approach to automated narrative generation borrows from narrative theory which frequently distinguishes fabula (ie, setting and plot events, story … strategies for designing auto- mated storytelling systems is to adhere to the natural lan- guage generation (NLG) pipeline: start …

Error Analysis in an Automated Narrative Information Extraction Pipeline
J Valls-Vargas, J Zhu, S Ontanon – IEEE Transactions on …, 2017 – ieeexplore.ieee.org
… In our previous work [8], [9], [10], we proposed the use of natural language processing (NLP) techniques to automatically acquire narrative structures from natural language text and alleviate the well-known “authorial bottleneck” problem …

Toward automated story generation with markov chain monte carlo methods and deep neural networks
B Harrison, C Purdy, MO Riedl – Proceedings of the …, 2017 – pdfs.semanticscholar.org
… In our work, we adopt Martin et al.’s event representation and their decomposition of story generation into successor generation and natural language generation … Controlling narrative generation with planning trajectories: the role of constraints …

Synthetic literature: Writing science fiction in a co-creative process
E Manjavacas, F Karsdorp, B Burtenshaw… – … Language Generation  …, 2017 – aclweb.org
… to literary writing in a co-creative environment, as opposed to solely narrative generation … Uncharacteristically for an NLP project, the visual interface of the system is paramount to its … of the ACL and the 4th International Joint Conference on Natural Language Processing of the …

The role of textualisation and argumentation in understanding the machine learning process
K Sokol, P Flach – Proceedings of the 26th International Joint …, 2017 – static.ijcai.org
… We aim to develop a flexible narrative generation plat- form that accepts a variety of data types … In Proceedings of the 15th European Work- shop on Natural Language Generation, 52–56, 2015. [Maaten and Hinton, 2008] Laurens van der Maaten and Ge- offrey Hinton …

SaferDrive: An NLG-based behaviour change support system for drivers
D Braun, E Reiter, A Siddharthan – Natural Language Engineering, 2018 – cambridge.org
… Abstract Despite the long history of Natural Language Generation (NLG) research, the potential for influencing real world behaviour through automatically generated texts has not received much attention. In this paper, we present …

Visualization of Patient Behavior from Natural Language Recommendations
J Siddle, A Lindsay, JF Ferreira, J Porteous… – Proceedings of the …, 2017 – dl.acm.org
… The system integrates multiple AI techniques including Natural Language Processing (NLP), com- monsense reasoning and AI planning-based narrative technologies into … by taking advantage of signifi- cant progress in the field of plan-based narrative generation and animation …

StoryFramer: From Input Stories to Output Planning Models
T Hayton, J Porteous, JF Ferreira, A Lindsay, J Read – 2017 – tees.openrepository.com
… In contrast to our approach, their system relies on a repre- sentation of the states and actions, which means their NLP approach can target an … A similar increase in work aimed at automated creation has been seen in research in Narrative generation for Inter- active Storytelling …

Placing mined clues on causality at the heart of narrative planning
PL Vaudry, G Lapalme – 2018 – rali.iro.umontreal.ca
… In contrast with work on reader inference in fictional narrative generation such as Niehaus and Young [21], in our model the computer generating the text … that holds with a certain probability [9]. The direction of this probabilistic implication is important later on in the NLG pipeline …

An Algorithmic Approach to Personalized and Interactive News Generation
D Kim – 2017 – s-space.snu.ac.kr
… and Forbes have long been publishing algorithm-generated news content in collaboration with narrative-generation algorithm developers since 2014. The Washington Post also joined the trend by developing news reporting … 118 6.3.3 Interactive Narrative Generation …

Narratology and Creativity
A Abe – Procedia Computer Science, 2017 – Elsevier
… However, a more interesting field for abduction in natural language processing is discourse generation … int’l Workshop on Natural Language Generation (LNAI-587), pp … and Cognitive Approaches to Narratology from the Perspective of Narrative Generation in Computational …

Influencing user choices in interactive narratives using indexter’s pairwise event salience hypothesis
R Farrell, SG Ware – Proceedings of AIIDE, 2017 – nil.cs.uno.edu
… Roberts and Isbell (2014) utilized con- cepts from social psychology, discourse analysis, and natural language generation to influence users. El-Nasr et al … References Bae, B.-C., and Young, RM 2014. A computational model of narrative generation for surprise arousal …

Improvised theatre alongside artificial intelligences
K Mathewson, P Mirowski – AAAI Conference on Artificial …, 2017 – pdfs.semanticscholar.org
… is a form of artificial con- versational agent, or chatbot, focused on open domain di- alogue and collaborative narrative generation … With the growing popularity of interactive mixed-reality experiences, as well as recent advances in natural language processing, speech, and …

An AI System for Coaching Novice Programmers
G Cruz, J Jones, M Morrow, A Gonzalez… – … Conference on Learning …, 2017 – Springer
… Their output forms the input to the narrative generation subsystem … The narrative subsystem uses natural language generation to tell a story around insights obtained by the advanced metrics and pattern matching subsystems [37] …

Narrative generation by associative network extraction from real-life temporal data
PL Vaudry – 2017 – papyrus.bib.umontreal.ca
… This thesis proposes an assisted temporal data interpretation model by narrative generation in which narratives are structured with the help of a mix of automatically mined and manually … The most important step of the Natural Language Generation (NLG) pipeline is document …

Narratives of an Artificial Agent
T Akimoto – Content Generation Through Narrative …, 2018 – books.google.com
… Computational Approaches to Narrative Generation The computational modeling of narrative generation has long been a challenging problem in the field of AI (Gervás, 2009; Ogata, 2016) … In this context, the narrative generation 248 Page 271 …

Analyzing Behavior of ISIS and Al-Qaeda Using Association Rule Mining
T Goyal, JK Saini, D Bansal – ISIS, 2017 – waset.org
… Data Mining and classifiers [4] COSM (Crime ontology similarity Measure) [5] [6] Natural language Processing(NLP), event clustering, event trending and Narrative generation [8] Stochastic Opponent Modelling Agents (SOMA …

Modeling social interestingness in conversational stories
M Behrooz, A Jhala – Proceedings of the Australasian Computer Science …, 2017 – dl.acm.org
… While common narrative generation approaches are extremely useful for a specific domain or sce- nario, they cannot accomplish what humans accomplish ev- ery … 2.2 Similar NLP Models of High-Level Con- cepts As an analogy, and an inspiration to our work, there has been …

An Integrated Approach to Narrative Generation
T Ogata – Content Generation Through Narrative Communication …, 2018 – books.google.com
49 Chapter 2 An Integrated Approach to Narrative Generation: From Mishima and Kabuki to Narrative Generation Systems Takashi Ogata Iwate Prefectural University, Japan ABSTRACT This chapter seeks to undertake a comprehensive structure of the author’s narrative …

Acquisition of Anecdotes from The Web for Free Conversation Systems
K Shirai, T Fukuoka – Asia-Pacific Journal of Information …, 2017 – ejournals.ukm.my
… Imabuchi, S. and Ogata, T. 2012. A Story Generation System based on Propp Theory: As a Mechanism in an Integrated Narrative Generation System. Advances in Natural Language Processing: the 8th International Conference on NLP, JapTAL, 312-321. Kawachi, A. 2003 …

Plot-Creation Support System for Writing Novels
A Ashida, T Kojiri – … on Computer Science, Applied Mathematics and …, 2017 – Springer
… for narrative generation and a trial of integrated narrative generation system. In: 2011 7th International Conference on Natural Language Processing and Knowledge Engineering, pp … In: The INLG 2016 Workshop on Computational Creativity in Natural Language Generation, pp …

A genealogy of computer-generated narrative
E Rose – Explorations in Media Ecology, 2017 – ingentaconnect.com
… Furthermore, as automated narrative generation becomes a thriving industry, with Narrative Science and other companies now eager ‘to relieve … Narrative Science was founded in 2010 to exploit the capabilities of Quill, a natural language generation system that began life as an …

Personabank: a corpus of personal narratives and their story intention graphs
SM Lukin, K Bowden, C Barackman… – arXiv preprint arXiv …, 2017 – arxiv.org
… This combina- tion allows for narrative generation while keeping the af- fordances of the SIG representation … a mapping between the content representation of the SIG and the syntactic representation used by the PER- SONAGE natural language generation engine (Mairesse …

Predicting the quality of short narratives from social media
T Wang, P Chen, B Li – arXiv preprint arXiv:1707.02499, 2017 – arxiv.org
… In addition, the ability to evaluate its own product is vital for a narrative generation system. In this paper, we present the first large-scale attempt to tackle this challenging problem … In Proceedings of the 2016 Conference on Em- pirical Methods in Natural Language Processing …

Towards automating data narratives
Y Gil, D Garijo – Proceedings of the 22nd International Conference on …, 2017 – dl.acm.org
… IUI 2017 • Machine Learning March 13–16, 2017, Limassol, Cyprus 567 Page 4. Explanation Patterns We follow natural language generation techniques based on explanation patterns [12] … The third major source of information for narrative generation is a software catalog …

Narrative encoding for computational reasoning and adaptation
SM Harmon – 2017 – search.proquest.com
… Unsurprisingly, computer science narratologists are often interested in using their models to advance research in natural language processing, which likewise involves a reasoning component … Early work did not suggest their application as a formalism for narrative generation …

Affinity-based Interpretation of Triangle Social Scenarios.
P Kalluri, P Gervás – ICAART (2), 2017 – nil.fdi.ucm.es
… to interpretation of social scenarios, and we identify potential applications to automated narrative analysis, AI narrative generation, and assistive … using the logical form are free to concentrate on interpretation while circumventing many natural language processing challenges …

Museum Experience Design: A Modern Storytelling Methodology
F Dal Falco, S Vassos – The Design Journal, 2017 – Taylor & Francis
… building chat-robots or chatbots -eg Wit.ai, Api.ai, Motion.ai, Converse.ai – are inspired mostly by recent work in Natural Language Processing (NLP) … Tutors: Dal Falco, F. & Vassos, S. Boyang Li, Mark O. Riedl: Scheherazade: Crowd-Powered Interactive Narrative Generation …

Reexamining Computational Support for Intelligence Analysis: A Functional Design for a Future Capability
J Llinas, G Rogova, K Barry, R Hingst, P Gerken… – Autonomy and Artificial …, 2017 – Springer
… Moens suggests that textual entailment in natural language processing, which focuses on detecting directional relations between text fragments may be … with respect to a narrative structure of story chains generated by an unsupervised narrative generation technique presented …

What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?
M Tanti, A Gatt, KP Camilleri – arXiv preprint arXiv:1708.02043, 2017 – arxiv.org
… age, although recently, there has been growing inter- est in moving beyond this, with research on visual question-answering (Antol et al., 2015) and image- grounded narrative generation (Huang et … an NLG stage (Kulkarni et al., 2011; Mitchell et al., 2012; Elliott and Keller, 2013 …

Event representations for automated story generation with deep neural nets
LJ Martin, P Ammanabrolu, W Hancock, S Singh… – arXiv preprint arXiv …, 2017 – arxiv.org
… event. However, identifying who is speaking in story text is a hard natural language processing problem that is not fully solved (cf, [4]). For the time being, we parsed dialogue through the same process as the rest of the data …

Generating security questions for better protection of user privacy
A Anvari, L Pan, X Zheng – International Journal of Computers and …, 2017 – Taylor & Francis

Introduction to Interactive Storytelling
M Cavazza, RM Young – Handbook of Digital Games and Entertainment …, 2017 – Springer
… field, even though Interactive Storytelling cannot be grounded in computational narratology in the same way as natural language processing has developed … On narrative generation, Porteous reviews the role of planning and how it became the dominant AI technique: she also …

Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent
J Kennedy, I Leite, A Pereira, M Sun, B Li… – … on Intelligent Virtual …, 2017 – Springer
… Nevertheless, narrative generation requires instantiating the di- alog partners and assigning gender implicitly through names or pronoun choice … In: Proc. of the LREC 2010 Workshop on New Challenges for NLP Frame- works. pp. 45–50 (2010) 11 …

Semantic Representation and Interpretation of Short Texts with Deep Learning
T Wang – 2017 – search.proquest.com
… 5. CHAPTER 2. NEURAL NETWORKS ON NATURAL LANGUAGE PROCESSING. Applying deep neural networks to natural language processing (NLP) shows remarkable … 2http://nlp.stanford. edu/software/lex-parser.shtml. 22 … own product is vital for a narrative generation system …

A framework for generating informative answers for Question Answering systems
ARP Perera – 2018 – aut.researchgateway.ac.nz
… for kiosks, dialogue systems for Intelligent Personal Assistants (IPA), patient summary generation in eHealth, and narrative generation in eLearning applications. Page 10 … NLG Natural Language Generation NLP Natural Language Processing ODF Open Document Format …

Sparks Will Fly: engineering creative script conflicts
T Veale, A Valitutti – Connection Science, 2017 – Taylor & Francis

Rogues of Wall Street: How to Manage Risk in the Cognitive Era
A Waxman – 2017 – books.google.com
… These platforms encompass machine learning, reasoning, natural language processing, speech and vision, human-computer interaction, dialog and narrative generation, and more—systems that learn at scale, reason with purpose, and interact with humans naturally …

Adapting Step Granularity in Tutorial Dialogue Based on Pretest Scores
P Jordan, P Albacete, S Katz – International Conference on Artificial …, 2017 – Springer
… 137–180 (2011)CrossRefGoogle Scholar. 4. Di Eugenio, B., Fossati, D., Yu, D., Haller, SM, Glass, M.: Natural language generation for intelligent … Young, RM, Ware, S., Cassell, B., Robertson, J.: Plans and planning in narrative generation: a review of plan-based approaches to …

exhiSTORY: Smart exhibits that tell their own stories
C Vassilakis, V Poulopoulos, A Antoniou… – Future Generation …, 2018 – Elsevier
… The exhiSTORY system complements the existing approaches to multiple narrative generation and personalization by exploiting IoT technologies, through which exhibits are able to contribute their own semantic information to the venue, coordinate and collaborate to tell a …

An Interactive Digital Storytelling System with “What If” Functions
N Yahata, K Sumi – International Conference on Entertainment Computing, 2017 – Springer
… Thus the system can be used as an idea creation tool for narrative generation as the process helps to increase the creativity … There is a research [5] to convert text information into animation by performing semantic analysis for each sentence using natural language processing …

Towards Crowd-Scale Deliberation
M Klein – 2017 – papers.ssrn.com
… Such techniques are fundamentally limited by the fact that current natural language processing algorithms have only a shallow understanding of natural language … One of our project goals is to create such a “narrative generation” capability that realizes this promise [9]. We will, in …

Generating variations in a virtual storyteller
SM Lukin – 2017 – search.proquest.com
… Previous work on providing content for narrative generation for ctional domains has typically … The introduction of automatically authored dialogues using expressive NLG engines is explored … input to a narrative system, some works use natural language processing techniques to …

Methodologies for realizing natural-language-facilitated human-robot cooperation: A review
R Liu, X Zhang – arXiv preprint arXiv:1701.08756, 2017 – arxiv.org
… Page 2. submitted to Knowledge-based Systems, January 2017 2. Motivation From the realization perspective, motivations of NLC research are concluded as research developments in natural language processing (NLP) and HRC. 2.1 …

Playing Games
GN Yannakakis, J Togelius – Artificial Intelligence and Games, 2018 – Springer
Page 1. Chapter 3 Playing Games When most people think of AI in games they think of an AI playing the game, or controlling the non-player characters you meet in the game. This might be because of the association between …

Extracting Social Network and Character Categorization From Bengali Literature
S Muhuri, S Chakraborty… – IEEE Transactions on …, 2018 – ieeexplore.ieee.org
… Researchers in computational field already conducted studies to analyze different aspects of social networks, including their structure [1], [2], the formation of communities [3]–[5], and the identification of the central actors [6]–[8]. Natural language processing techniques [9], [10 …

Semi-automatic Picture Book Generation Based on Story Model and Agent-Based Simulation
K Fukuda, S Fujino, N Mori, K Matsumoto – Intelligent and Evolutionary …, 2017 – Springer
… 1 Introduction. Recently, automatic narrative generation by the computer has attracted considerable interest as a challenging problem in the fields of artificial intelligence and natural language processing. Narrative [1] is a creation …

Modeling Training Efficiency and Return on Investment for Adaptive Training
GA Goodwin, JW Kim, J Niehaus – Proceedings of the 5th Annual …, 2017 – books.google.com
… Cross-disciplinary advances in applied natural language processing: issues and approaches … Previously, he has worked on projects concerning narrative generation, adaptation and individualization of training content, cultural interaction with virtual agents, and cognitive models …

Mind as multiresolution system based on multiagents architecture
O Arsene, I Dumitrache – Biologically inspired cognitive architectures, 2017 – Elsevier
… platforms are based on the scientific disciplines of Artificial Intelligence and Signal Processing (encompassing branches like machine learning, reasoning, natural language processing, speech and vision, human-computer interaction, dialog and narrative generation) …

Mutual Implicit Question Answering for Shared Authorship: A Pilot Study on Player Expectations
SG Ware – 2017 – pdfs.semanticscholar.org
… In Proceedings of the Games and Natural Language Processing workshop at AIIDE, 2–8. Cardona-Rivera, RE; Cassell, BA; Ware, SG; and … Plans and planning in narrative generation: a re- view of plan-based approaches to the generation of story, discourse and interactivity in …

Systems of natural-language-facilitated human-robot cooperation: A review
R Liu, X Zhang – arXiv preprint arXiv:1701.08269, 2017 – arxiv.org
… 1. From a realization perspective, the pushing forces for recent NLC developments are concluded as natural language processing (NLP) developments and HRC developments. 1.2 … Fig. 2. The development of natural language processing (NLP) techniques [51] …

Examining the Role of Linguistic Flexibility in the Text Production Process
L Allen – 2017 – search.proquest.com
… 1981). In these studies, trained expert human raters typically score large corpora of. essays using a standardized rubric. Automated natural language processing (NLP) tools. are then used to calculate indices related to the properties of these texts. Finally …

From Models to Stories
AM Madni – Transdisciplinary Systems Engineering, 2018 – Springer
… storytelling cuts across several disciplines including psychology, sociology, cognitive science, linguistics, natural language processing, user interface design … to contextualization range from parameter adjustments and customizable templates to narrative generation [1]. Allowing …

Leveraging Intention Revision in Narrative Planning to Create Suspenseful Stories
MW Fendt, RM Young – … on Computational Intelligence and AI in …, 2017 – ieeexplore.ieee.org
… However, intentionality, one component of intention revision, has been explored in both narrative generation and logi- cal formalisms … Algorithm 1: IRIS-Narrative-Generation Algorithm(C, GA, ?) Initialization: Let P = ?. For the protagonist p, Ip = create- intentions(Dp, GA) …

DAC-h3: A Proactive Robot Cognitive Architecture to Acquire and Express Knowledge About the World and the Self
C Moulin-Frier, T Fischer, M Petit… – … on Cognitive and …, 2017 – ieeexplore.ieee.org
… of an embodied and integrated cognitive architecture for the acquisition of multimodal information about external word referents, as well as a context-dependent lexicon shared with a human partner and used in goal-directed behavior and verbal narrative generation …

Transdisciplinary systems engineering: exploiting convergence in a hyper-connected world
AM Madni – 2017 – books.google.com
Page 1. Azad M. Madni Transdisciplinary Systems Engineering Exploiting Convergence in a Hyper-Connected World Foreword by Norman R. Augustine Page 2. Transdisciplinary Systems Engineering Page 3. Azad M. Madni …

Automated Extraction of Action Semantics for Embodied Virtual Agent Using Textual Knowledge Bases
JT Balint – 2017 – search.proquest.com
Automated Extraction of Action Semantics for Embodied Virtual Agent Using Textual Knowledge Bases. Abstract. In games, training environments, and other virtual simulations, non-player characters (virtual agents) perform actions …

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