Notes:
A story generator is a software program or system that is designed to produce stories or narratives based on input data or information. Story generators may use a variety of techniques, such as natural language processing (NLP), machine learning, and text generation algorithms, to analyze and interpret the input data and generate appropriate and coherent stories or narratives.
Story generators may be used in a variety of applications, such as education, entertainment, or creative writing. For example, a story generator might be used to generate personalized stories or narratives for children, to provide inspiration for writers, or to create interactive and engaging content for users. Story generators may also be used to generate descriptions of products or services, to summarize news articles or other content, or to generate instructional materials or explanations.
Story generators may be controlled through voice commands or text input, and they may use natural language processing (NLP) techniques to understand and interpret the requests and commands of users. Story generators may also be connected to the internet and other devices, allowing them to access and share information and perform tasks remotely.
Natural language processing (NLP) is a field of artificial intelligence (AI) that focuses on enabling computers to understand and interpret human language, such as text or speech. NLP techniques are used in a variety of applications, including language translation, information retrieval, sentiment analysis, and more.
In the context of story generators, NLP techniques can be used to analyze and interpret the meaning and structure of text or speech input, and to generate appropriate and coherent responses. For example, an NLP-powered story generator might use techniques such as natural language understanding, machine learning, and text generation algorithms to analyze user input and generate a story or narrative that is based on the user’s input.
NLP-powered story generators might be used in a variety of applications, such as education, entertainment, or creative writing. For example, an NLP-powered story generator might be used to generate personalized stories or narratives for children, to provide inspiration for writers, or to create interactive and engaging content for users. NLP techniques can be used to analyze and interpret user inputs and preferences, and to generate stories or narratives that are tailored to the user’s interests and needs.
- Automated generation of stories refers to the process of producing stories or narratives using a software program or system. Automated generation of stories may involve using techniques such as natural language processing (NLP), machine learning, and text generation algorithms to analyze and interpret input data or information, and to generate appropriate and coherent stories or narratives based on the input. Automated generation of stories may be used in a variety of applications, such as education, entertainment, or creative writing.
- Story generation algorithm is a specific set of rules or procedures that is used by a software program or system to generate stories or narratives based on input data or information. Story generation algorithms may involve using techniques such as natural language processing (NLP), machine learning, and text generation algorithms to analyze and interpret the input data and generate appropriate and coherent stories or narratives based on the input.
Resources:
- nil.fdi.ucm.es .. natural interaction based on language (pablo gervás)
Wikipedia:
References:
- An Ontology Based Natural Language Story Generation Approach: WELOTA (2014)
- Handbook of Narratology (2014)
- Circles disturbed: The interplay of mathematics and narrative (2012)
See also:
100 Best Facade Interactive Story Videos | INSCAPE (Interactive Storytelling for Creative People) | Interactive Story Authoring | Interactive Story Generation | Interactive Storytelling | Story Engines | Storytelling Systems | Transmedia Storytelling | Virtual Storytelling
Applying an Intelligent Personal Agent on a Smart Home Using a Novel Dialogue Generator
A Alexiadis, A Nizamis, I Koskinas, D Ioannidis… – … Conference on Artificial …, 2020 – Springer
… Nowadays, Intelligent Personal Agents include Natural Language Understanding (NLU) modules, that utilize Machine Learning (ML), which can be included in … Besides the architecture of CIPA—Generation A, a novel dialogue-story generator that is based on the idea of …
Communication-based Evaluation for Natural Language Generation
B Newman, R Cohn-Gordon, C Potts – arXiv preprint arXiv:1909.07290, 2019 – arxiv.org
… 1 Introduction Natural language generation (NLG) models are in- creasingly prominent, as core components in di- alogue agents, story generators, summarization tools, image captioning systems, and others. NLG models are …
INES: A reconstruction of the Charade storytelling system using the Afanasyev Framework
E Concepción, P Gervás… – Ninth International …, 2018 – computationalcreativity.net
… A possible solution can be the use of a Controlled Natural Language (CNL) for knowledge interchange (Con … TALE-SPIN (Meehan 1977) was another of the ear- lier story generators … Author (Dehn 1981) was the first story generator to include the authors goals as a part of the …
Driving the Narrative Flow of an Interactive Storytelling System for Case Studies
SY Galan, MJ Ramos, A Dy, Y Kim, E Ong – Pacific Rim International …, 2018 – Springer
… Using natural language processing techniques, the player interacts with the couple and this interaction may affect the outcome of the confrontation of the … We also describe the interaction between the front-end visual game engine and the back-end story generator to impart the …
Dixit: Interactive Visual Storytelling via Term Manipulation
CC Hsu, YH Chen, ZY Chen, HY Lin… – The World Wide Web …, 2019 – dl.acm.org
… CCS CONCEPTS • Computing methodologies ? Natural language generation; Scene understanding; • Human-centered computing ? Inter- active systems and tools … In the second stage, the predicted terms are then concatenated and fed into a story generator to construct a …
Show, reward and tell: Automatic generation of narrative paragraph from photo stream by adversarial training
J Wang, J Fu, J Tang, Z Li, T Mei – Thirty-Second AAAI Conference on …, 2018 – aaai.org
… to this task as “visual storytelling”, which can specifically generate one natural language sentence for … of objective descriptions, which poses grand challenges for the learning of story generators … we propose a hier- archical recurrent neural network as story generator, which is …
Generating stories using role-playing games and simulated human-like conversations
A Tapscott, C León, P Gervás – … Natural Language Generation (CC-NLG …, 2018 – aclweb.org
… The following modules constitute the proposed story generator … produce a sequence of abstract interactions meant to resemble hu- man conversation dynamics • A rendering engine capable of processing abstract interactions and generate template- based natural language …
Mimisbrunnur: ai-assisted authoring for interactive storytelling
IS Stefnisson, D Thue – Fourteenth Artificial Intelligence and Interactive …, 2018 – aaai.org
… Specifi- cally, our tool uses natural language processing and mixed- initiative exploration to help the author create an outline, and stories from this outline can be previewed within the tool us- ing the outputs of a story generator that uses AI planning …
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication
R Wang, Z Wei, P Li, H Shan, J Zhang, Q Zhang… – arXiv preprint arXiv …, 2019 – arxiv.org
… tasks, we propose a multi-agent communication framework that regards the topic description generator and the story generator as two … to-text generation is an important topic in artificial intelligence (AI) which connects computer vision (CV) and natural language processing (NLP …
Using Social Media Posts as Knowledge Resource for Generating Life Stories.
RKMJ Te, JMM Lam, E Ong – PACLIC, 2018 – aclweb.org
… led researchers in story generation to employ varying strategies to provide story generators with the … In the early iterations of the story generator, a se- quence of event frames … Utilizing natural language processing approaches and tools, we per- formed a sequence of steps to …
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
… Third, we further consider the story generator and the reward critic as adversaries … aims at providing an answer for the image and the corresponding natural language question, is a … and free language style, which poses grand challenges for the learning of the story generators …
Controllable neural story generation via reinforcement learning
P Tambwekar, M Dhuliawala, A Mehta… – arXiv preprint arXiv …, 2018 – deepai.org
… In many cases, the story generator will be provided with a goal, outcome state, or other guides to ensure the resulting story is coherent … We show that our technique has improved perception of plausible event ordering and plot coherence over the baseline story generator …
Balancing Consistency and Plot Structure in Computational Storytelling
P Khalpada, S Garg – 2019 IEEE 10th Annual Information …, 2019 – ieeexplore.ieee.org
… One of the prime challenges for computational story generators is balancing the consistency and … In this paper, we propose a computational story generator, based on Makebelieve, that … In addition to natural language generation, it includes aspects, like representational order of …
Predicting generated story quality with quantitative measures
C Purdy, X Wang, L He, M Riedl – Fourteenth Artificial Intelligence and …, 2018 – aaai.org
… Table 4: The correlation coefficients from natural language metrics compared against absence of narrative repetition … we have quantified each of these story mea- sures so that researchers can isolate specific strengths or weaknesses of their story generators without having to …
Controllable Neural Story Plot Generation via Reinforcement Learning
P Tambwekar, M Dhuliawala, LJ Martin… – arXiv preprint arXiv …, 2018 – arxiv.org
… the story be- ing a soap opera was added to determine how the perfor- mance of the DRL story generator affects reader … questions about correct grammar, interesting lan- guage, and avoiding repetition are irrelevant to our evaluation since the natural language was produced by …
Computer-based Story Generation. An Analysis from a Phenomenological Standpoint
? Tr?u?an-Matu – International Journal of User-System Interaction, 2019 – rochi.utcluj.ro
… Gervás, P. (2013) “Story Generator Algorithms”, Peter et al. (eds.) The living handbook of narratology … Jurafsky, D. and Martin, JH (2009) Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics …
Afanasyev: A collaborative architectural model for automatic story generation
E Concepción, P Gervás, G Méndez – 5th AISB Symposium on …, 2018 – researchgate.net
… Author [10] was the first story generator to include the author’s goals as a part of the … Grammar-based story generators require a complete representation of the applicable rules for creating their stories … The last step for the finished story is to generate the text in Natural Language …
Applying Ontology in Computational Creativity Approach for Generating a Story
L Issa, S Jusoh – 2019 2nd International Conference on new …, 2019 – ieeexplore.ieee.org
… approach which helps with analyzing and understanding human writings, such as writing jokes, stories, and so on[21][23], into natural language processing (NLP … ontology as a knowledge base to supply the story generator with the needed content to generate informative stories …
The Art of Narration and Artificial Narrative Intelligence: Implications for Interdisciplinary Research
IA Livytska – Journal of Narrative and Language Studies, 2019 – researchgate.net
… shared abstract models” (Gervas et al., 2006) outlined in Story Generator Algorithms project … had to cast a glance at existing theories of Story Generators in order to … &Scardamalia, 1987), Mind Theory (Minsky, 1981) and conceptualisations of natural language (see Davis&Travers …
Emotion reinforced visual storytelling
N Li, B Liu, Z Han, YS Liu, J Fu – … of the 2019 on International Conference …, 2019 – dl.acm.org
… Driven by the availability of large scale of pairs consisting of images and natural language descriptions and successful adoption of recurrent … To address the above challenges, we propose a novel emotion reinforced visual story generator, which is the first to introduce emotion …
Character-Centric Storytelling
A Surikuchi, J Laaksonen – arXiv preprint arXiv:1909.07863, 2019 – arxiv.org
… Visual storytelling and album summarization tasks have recently been of focus in the domain of computer vision and natural language processing … This can lead to an inclination bias of the story generator towards these characters owing to the data size limitations we discussed …
Classification of Characters in Movie by Correlation Analysis of Genre and Linguistic Style
ES You, JW Song, SB Park – ????????????, 2019 – dbpia.co.kr
Story Quality as a Matter of Perception: Using Word Embeddings to Estimate Cognitive Interest
M Behrooz, J Robertson, A Jhala – Proceedings of the AAAI Conference on …, 2019 – aaai.org
… A story generator’s intended use-case and narrative deliv- ery paradigm have important … Thus, many story generators have been developed in the context of one game, eg in … In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP …
The Use of Genetic Algorithm to Optimize Quantitative Learner’s Motivation Model
P Lempa, M Ptaszynski, F Masui – Technical Transactions, 2018 – content.sciendo.com
… was used to find a solution that satisfies the constraints of grammaticality and meaningfulness or a story generator [7], where … solution in the optimization of sentiment analysis, fake reviews detection, cyberbullying detection and others from the natural language processing field …
Narratology and creativity
A Abe – Content Generation Through Narrative Communication …, 2018 – igi-global.com
… Thus, story or narratology is very important in creativity. By the story or narratology, the creativity enhanced in several situations. ABDUCTION AS STORY GENERATOR Philosophical Abduction … This type of inference can be applied to the natural language processing …
Exploring Bloom’s Taxonomy as a Basis for Interactive Storytelling
S Harmon, S Chatterton – International Conference on Interactive Digital …, 2018 – Springer
… This approach is broadly inspired by the imaginative recall process used by Minstrel [18], a story generator that has been recently reviewed … telling as simple English sentences [9]. The teacher can write or modify their own logical assertions in natural language to personalize the …
The long path to narrative generation
P Gervás, E Concepción, C León… – IBM Journal of …, 2019 – ieeexplore.ieee.org
… Gervás et al [10] proposed a classification of story generators based on the particular Artificial … of the solutions considered for this purpose have been based on Natural Language Processing, using … attempt to model narrative structure as a driving force for a story generator is the …
The Possibility of the Generation of Literary Works by Abduction
A Abe – Post-Narratology Through Computational and …, 2019 – igi-global.com
… ABDUCTION AS STORY GENERATOR In the previous section, we discussed the generation as a combination of frictions. In fact, by such a simple strategy, it is possible to generate literary-work … This type of reasoning can be applied to the natural language processing …
Wandering Machines
V Todorovic, D Grba – Journal of Science and Technology of the Arts, 2019 – artes.ucp.pt
… Well versed in natural language processing and neural networks, Goodwin programmed a long short- term memory recurrent neural network and, for the learning stage, supplied it with a number of the 1980s and 1990s sci-fi movie screenplays found on the Internet …
Seeking the Ideal Narrative Model for Computer-Generated Narratives
M Ferreira, HG Oliveira – … Computational Creativity in Natural Language …, 2018 – aclweb.org
… Proceedings of the 3rd Workshop on Computational Creativity and Natural Language Generation, pages 5–10, Tilburg, November 2018 … Imababuchi and Ogata (2014) developed a Propp-based story generator that can work inde- pendently, generating stories with the structure …
Video-based interactive storytelling using real-time video compositing techniques
ES de Lima, B Feijó, AL Furtado – Multimedia Tools and Applications, 2018 – Springer
… In the Story Generator module, stories are generated in chapters … 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 …
Eudaimonic Appreciation in Interactive Narrative
K Chen – 2020 – search.proquest.com
… 2016], or advanced programming implementations for natural language generation [Brannan 2016] … in this area helps us understand more about what makes it work. On the narrative side, most story generator algorithms fall loosely within one of two categories [Riedl …
The Book of Endless History: Authorial Use of GPT2 for Interactive Storytelling
J Austin – International Conference on Interactive Digital …, 2019 – Springer
… on GPT2, we are excited to see the how the landscape of tools available to interactive story generators transforms over … 1. Honnibal, M., Montani, I.: spaCy 2: natural language understanding with bloom embeddings, convolutional neural networks and incremental parsing (2017 …
Revisiting the evaluation of theory of mind through question answering
M Le, YL Boureau, M Nickel – … on Empirical Methods in Natural Language …, 2019 – aclweb.org
… Similarly, natural language inference benchmarks have been shown to be vulnerable to bias exploita- tion (Gururangan et al., 2018; Poliak et al., 2018), and multimodal machine translation … We then sample from this randomized story generator with rejection to create …
Generative design in Minecraft: chronicle challenge
C Salge, C Guckelsberger, MC Green… – arXiv preprint arXiv …, 2019 – arxiv.org
… of our challenge we have 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 … This, in essence, is very similar to what a lot of story generators do already …
The “big red button” is too late: an alternative model for the ethical evaluation of AI systems
T Arnold, M Scheutz – Ethics and Information Technology, 2018 – Springer
… 2006) to highlight the explicit nature of ethical representations and reasoning, that also allows for ethical discourse and natural language justifications of … It is important that the story generator be able to generate stories with sufficient coverage for all ethical principles that need to …
Translating an Aesop’s Fable to Filipino Sign Language through 3D Animation
M Cueto, W He, R Untiveros, J Zuñiga… – Proceedings of the …, 2020 – aclweb.org
… In Proceedings of the 7th National Natural Language Processing Research Symposium, 21-26, November 19-20 2010, De La Salle … Retrieved from https://youtu.be/2g6DNncMfms Lönneker, B., Meister, J. Story Generators: Models and approaches for the generation of literary …
Introducing Mood and Affinity to Generate Brief Template-based Dialogues in Storytelling Systems.
A Oñate, G Méndez, P Gervás – TriCoLore (C3GI/ISD/SCORE), 2018 – nil.fdi.ucm.es
… Page 11. References [1] Pablo Gervás. Story generator algorithms. The Living Handbook of Narratology, 19, 2012 … Springer, February 2016. [10] Michel Galley, Eric Fosler-Lussier, and Alexandros Potamianos. Hybrid natural language generation for spoken dialogue systems …
Appointment in Samarra: Pre-destination and Bi-camerality in Lightweight Story-Telling Systems.
T Veale – ICCC, 2018 – computationalcreativity.net
… To squeeze a full story-generator into the context-free grammars of Tracery, we give a practical form to two exotic ideas: predestination, and … Also associated with each action is a set of one or more idiomatic templates, to allow each to be rendered in fluent natural language …
Mímisbrunnur: A Mixed-Initiative Authoring Tool for Interactive Storytelling
IS Stefnisson – 2018 – skemman.is
… Specifically, my tool uses natural language processing and mixed-initiative exploration to help the author create an outline, and stories from this outline can be previewed within the tool using the outputs of a story generator that uses AI planning …
Generating Images from Arabic Story-Text using Scene Graph
J Zakraoui, M Saleh, U Asghar… – … on Informatics, IoT …, 2020 – ieeexplore.ieee.org
… For instance, the proposed work in [1] showed that scene graphs can be effectively created from a natural language scene description … B. Scene composing In our Image Story Generator tool, scene composing is designed in two ways, manual and automatic scene composing …
Dungeons and DQNs: Toward Reinforcement Learning Agents that Play Tabletop Roleplaying Games.
LJ Martin, S Sood, M Riedl – INT/WICED@ AIIDE, 2018 – cc.gatech.edu
… YCS+18]. Our event representation turns an infinite number of actions (any natural language sentence) into a large, but finite action space … say. TRPG players are more similar to collaborative automated story generators in this way …
DDSpell-A Data Driven Spell Checker and Suggestion Generator for the Tamil Language
K Uthayamoorthy, K Kanthasamy… – … on Advances in ICT …, 2019 – ieeexplore.ieee.org
… Further, other Natural Language Processing (NLP) applications like speech to text and text to speech engines, Optical Character Recognition (OCR … Nowadays there are many NLP applications such as OCR, automatic text generator, story generators which can recognize or …
A Hybrid Model for Globally Coherent Story Generation
Z Fangzhou, V Demberg, P Shkadzko, W Shi… – ACL 2019, 2019 – aclweb.org
… Finally, a story generator which performs the following.(1) Calls the agenda generator to generate an agenda.(2) Creates a seed, a short, plausible beginning, to … In Proceedings of the 2016 Con- ference on Empirical Methods in Natural Language Processing, pages 329–339 …
A hybrid model for globally coherent story generation
F Zhai, V Demberg, P Shkadzko, W Shi… – Proceedings of the …, 2019 – aclweb.org
… Finally, a story generator which performs the following. (1) Calls the agenda generator to generate an agenda. (2) Creates a seed, a short, plausible beginning, to initialize surface realiza- tion, eg, ‘yesterday i went grocery shopping’ …
The Many Authors of The Several Houses of Brian, Spencer, Liam, Victoria, Brayden, Vincent, and Alex: Authorship, Agency, and Appropriation
Z Whalen – Journal of Creative Writing Studies, 2019 – scholarworks.rit.edu
… their consequences in socio-cultural reality.4 In another essay, Hen- rickson links the reception of natural-language generation systems … Lamenting mainstream coverage of another story generator, Brutus, created in the late 1990s by Selmer Bringsjord and David Ferrucci, Noah …
My Way of Telling a Story: Persona based Grounded Story Generation
S Prabhumoye, KR Chandu, R Salakhutdinov… – arXiv preprint arXiv …, 2019 – arxiv.org
… arXiv:1906.06401v1 [cs.CL] 14 Jun 2019 Page 2. of large scale persona annotated stories. We ad- dress this by transferring knowledge from anno- tated data in dialog domain to the storytelling do- main. We base our visual story generator model on Kim et al …
Rethinking summarization and storytelling for modern social multimedia
S Rudinac, TS Chua, N Diaz-Ferreyra… – … on Multimedia Modeling, 2018 – Springer
… Content summarisation problems arise in different application domains and are a long-standing interest of the natural language processing, computer vision, and multimedia research communities … Table 3. Story properties that should be facilitated by the story generator engine …
“My Way of Telling a Story”: Persona based Grounded Story Generation
K Chandu, S Prabhumoye, R Salakhutdinov… – Proceedings of the …, 2019 – aclweb.org
… A key challenge to this end is the lack Page 2. 12 of large scale persona annotated stories. We ad- dress this by transferring knowledge from anno- tated data in dialog domain to the storytelling do- main. We base our visual story generator model on Kim et al …
A HUMAN TOUCH IN COMPUTER-GENERATED LITERATURE
MC Ferreira – The Age of Artificial Intelligence: An Exploration, 2020 – books.google.com
… Natural Language Generation (NLG) and Computational Creativity (CC) are the fields of AI in which researchers try to develop computer programs able to … This way, it is not wrong to say that we cannot remove the human aspect of the Story Generator Systems, so humans and …
Skald: Exploring Story Generation and Interactive Storytelling by Reconstructing Minstrel
BR Tearse – 2018 – escholarship.org
… on this acclaimed project and an opportunity to extend Turner’s experiments and more fully understand how the system works as a story generator. My team found … The other three notable CBR-based story generators function differently: Mexica uses a …
The evaluation of creative systems
G Ritchie – Computational Creativity, 2019 – Springer
Page 1. Chapter 8 The Evaluation of Creative Systems Graeme Ritchie Abstract As creative systems become more advanced, there is a growing need to assess their performance, whether during development or after implementation is complete …
COMPUTER-DRIVEN CREATIVITY STANDS AT THE FOREFRONT OF ARTIFICIAL INTELLIGENCE AND ITS POTENTIAL IMPACT ON LITERARY …
P Gervás – AC/E Digital Culture Annual Report.: Digital Trends in …, 2018 – books.google.com
… The other obvious option for constructing story generators has been to take advantage of knowl- edge gathered from centuries of literary studies on narrative … In: En: Proceedings of the 14th European Workshop on Natural Language Genera- tion (ACL 2013)(2013) …
No metrics are perfect: Adversarial reward learning for visual storytelling
X Wang, W Chen, YF Wang, WY Wang – arXiv preprint arXiv:1804.09160, 2018 – arxiv.org
… Callison-Burch et al., 2006). The naive overlap-counting methods are not able to reflect many semantic properties in natural language, such as coherence, expressiveness, etc. Generative Adversarial Network Generative adversarial …
Character Depth and Sentence Diversification in Automated Narrative Generation
B Bottoni, Y Moolenaar, A Hevia, T Anchor… – The Thirty-Third …, 2020 – aaai.org
… sounded less repetitive and richer in detail, and the language was more expressive as a result of an added Natural Language Generation (NLG … in future research: with respect to its internal work- ings and with respect to the content from which the story generator pulls when …
Quality signals in generated stories
M Sagarkar, J Wieting, L Tu, K Gimpel – Proceedings of the Seventh Joint …, 2018 – aclweb.org
… the context. Neural networks are increasingly employed for natural language generation, most often with encoder-decoder architectures based on recurrent neural networks (Cho et al., 2014; Sutskever et al., 2014). However …
Narrative Generation in the Wild: Methods from NaNoGenMo
J van Stegeren, M Theune – Proceedings of the Second Workshop on …, 2019 – aclweb.org
… of narra- tive structure (see Section 5.1). A story generator from outside NaNoGenMo that also used the tropes from tarot was developed by Sullivan et al. (2018). However, Sullivan et al. (2018) used the tarot cards to generate …
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
ABSTRACTInteractive storytelling systems have become very popular as they engage users in the creation of narrative. A fundamental challenge for such systems is that the users feel unconstrained in…
Classifying and Extracting Data from Facebook Posts for Online Persona Identification.
H Brosas, E Lim, D Sevilla, D Silva, E Ong – PACLIC, 2018 – aclweb.org
… The assertions derived from the extracted data are represented as RDF and used as the knowledge re- source for a grammar-based generator. The story generator selects relevant assertions to form the per- sona description …
Open-World Story Generation with Sequence-to-Sequence and Hierarchical Recurrent Encoder-Decoder Models
R Zembrodt – 2019 – zembrodt.com
… Several topics within machine learning and natural language processing were explored in this project, including recurrent neural networks, sequence-to … Closed-world story generators require authored domains for their use, and are unable to generate stories outside of this …
The steep road to happily ever after: An analysis of current visual storytelling models
Y Modi, N Parde – arXiv preprint arXiv:1904.03366, 2019 – arxiv.org
… Recent literature has begun to refer to this task as visual storytelling: the generation of a co- hesive, sequential set of natural-language descrip- tions across multiple … 2017) employed an alter- nate pipeline comprised of Album Encoder, Photo Selector, and Story Generator stages …
Representing Social Common-Sense Knowledge in MEXICA
RP y Pérez – Computational Creativity, 2019 – Springer
… Story generators have been strongly focused on the content level (what happens in the story) rather than on the level of expression (how the … are written in a rigid format designed to make it easier to process this information (the program does not work with natural language) …
Narrative Text Generation via Latent Embedding from Visual Stories
??? – 2019 – s-space.snu.ac.kr
… information is input by the camera. Those agents observe the surroundings, translate them into the story in natural language, and predict the following event or multiple ones sequentially … 28 3.3.2 Decoder: Story Generator with Attention and Cascading Mechanism …
Program understanding, the narrative hypothesis
E Harth – 2019 – archive-ouverte.unige.ch
… natural language. We show that using NLP and information retrieval techniques (IR), we can “map” the human-oriented (ie, domain level) story to the technical story (ie, source code), which is … 4.4.6. The story generator ….. 69 …
Storytelling by a Show of Hands: A framework for interactive embodied storytelling in robotic agents
P Wicke, T Veale – Proc. of AISB’18, the Conf. on Artificial …, 2018 – researchgate.net
… 6 TELLING AN INTERACTIVE STORY The framework as described – marrying the Scéalextric story- generator to a semiotic system of robotic gestures – has been imple … [4] J. Bulwer, Chirologia, or the natural language of the hand., Thom. Harper and Henry Twyford, 1975 …
DATA agent
MC Green, GAB Barros, A Liapis… – Proceedings of the 13th …, 2018 – dl.acm.org
… erating creative writing [27]; it was further enhanced by combining an nn Narrator [25] to create MÉXICA-nn, a story generator capable of … Work on dialog generation can trace its roots back at least to ELIZA, an early natural language processing computer which could simulate …
Challenges of IDN Research and Teaching
H Koenitz, MP Eladhari – International Conference on Interactive Digital …, 2019 – Springer
… Ryan, J.: Grimes’ fairy tales: a 1960s story generator. In: Nunes, N., Oakley, I., Nisi, V. (eds.) ICIDS 2017. LNCS, vol … Weizenbaum, J.: ELIZA—a computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966) …
Story-telling maps generated from semantic representations of events
L Tateosian, M Glatz, M Shukunobe – Behaviour & Information …, 2020 – Taylor & Francis
… At the same time, natural language processing is evolving to enable automatic extraction of spatial events from stories authored by humans … The system is designed to be invoked by a story generator, which has built a database containing semantic representations of mappable …
Learning to Listen: Critically Considering the Role of AI in Human Storytelling and Character Creation
A Kasunic, G Kaufman – Proceedings of the First Workshop on …, 2018 – aclweb.org
… Just as recent work in natural language process- ing has criticized and sought ways to rectify the amplification of negative biases (eg … For example, AI story generators that learn from existing narrative corpora may learn that straight white male characters are best suited to be …
Automatic News Generation System based on Natural Language
N Thanguturi – 2018 – rave.ohiolink.edu
Page 1. A Thesis entitled Automatic News Generation System based on Natural Language by Naren Thanguturi Submitted … ii Page 3. Abstract Automatic News Generation System based on Natural Language by Naren Thanguturi Submitted …
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 …
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 … Access to more metadata and large semantic models that capture music-related relationships between various enti- ties can help a story generator in achieving this goal …
Curating Interest in Open Story Generation
M Behrooz – 2019 – escholarship.org
… system such as a story generator. Cognitive psychology and cognitive science theories are about … evaluation metrics borrowed from the related field of Natural Language Processing (NLP), such as BLEU [129] or PINC [41] scores …
Authorship in computer-generated texts
L Henrickson – Oxford Research Encyclopedia of Literature, 2020 – oxfordre.com
… Summary and Keywords. Natural language generation (NLG) refers to the process in which computers produce output in readable human languages (eg, English, French) … Who, or what? Computer-generated texts are produced by natural language generation (NLG) systems …
Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation
D Wilmot, F Keller – arXiv preprint arXiv:2004.14905, 2020 – arxiv.org
… In NLP, suspense is studied most directly in nat- ural language generation, with systems such as Dramatis (O’Neill and Riedl, 2014) and Suspenser (Cheong and Young, 2014), two planning-based story generators that use the theory of Gerrig and Bernardo (1994) that …
Suspense in Short Stories is Predicted By Uncertainty Reduction over Neural Story Representation
D Wilmot, F Keller – Proceedings of the 58th Annual Meeting of the …, 2020 – aclweb.org
… In NLP, suspense is studied most directly in nat- ural language generation, with systems such as Dramatis (O’Neill and Riedl, 2014) and Suspenser (Cheong and Young, 2014), two planning-based story generators that use the theory of Gerrig and Bernardo (1994) that …
Curating simulated storyworlds
J Ryan – 2018 – escholarship.org
… List of Tables 8.1 Example templates used to produce rudimentary natural language expressions of emergent World events … So what kind of story generator is this? In the field of artificial intelligence … such as with simulationist story generators. In Chapter 2, I handle this research …
Electronic literature
S Rettberg – 2018 – books.google.com
Page 1. |-| ECTRON |C |_||E|RATURE- SCOTT RETTBERG Page 2. Contents Cover Dedication Copyright Acknowledgments 1 Genres of Electronic Literature Defining electronic literature Reconsidering genre in electronic literature …
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 …
User-generated content in social media (Dagstuhl Seminar 17301)
TS Chua, N Fuhr, G Grefenstette, K Järvelin… – Dagstuhl …, 2018 – drops.dagstuhl.de
… applications. In this seminar, we brought together researchers from different subfields of computer science, such as information retrieval, multimedia, natural language processing, machine learning and social media analytics …
A methodology to forecast some attributes of an automatic storyteller’s outputs
I Guerrero Román, R Pérez y Pérez – Connection Science, 2020 – Taylor & Francis
… Grimes’ fairy tales: A 1960s story generator … 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) …
Pintail: a travel companion for guided storytelling
SK Chowdhury – 2018 – dspace.mit.edu
Page 1. Pintail: A Travel Companion for Guided Storytelling by Sujoy Kumar Chowdhury Submitted to the Program in Media Arts and Sciences, School of Architecture and Planning, In partial fulfilment of the requirements for the degree of Master of Science in Media Technology …
Improvchat: An ai-enabled dialogue assistant chatbot for english language learners (ell)
Y Guo – 2018 – openresearch.ocadu.ca
… expressions in English. I was eager to explore the phenomenon. The computer has played an ever-increasing role in the field of language learning with the maturity of Natural Language Processing (NLP) technol- ogy. As stated by …
The Impostor: Exploring narrative game design for learning Korean as a foreign language
T Engström – 2019 – aaltodoc.aalto.fi
Page 1. 1 Exploring narrative game design for learning Korean as a foreign language Master’s Thesis Tom Engström The imposTor Page 2. 2 ! Aalto-yliopisto, PL 11000, 00076 AALTO www.aalto.fi Taiteen maisterin opinnäytteen tiivistelmä …
Question Answering, Grounding, and Generation for Vision and Language
L Yu – 2019 – cdr.lib.unc.edu
… Next, we study album summarization, which not only selects the key photos inside an album but also generates a natural language story describing the whole album. Last but not least, we describe multi-target iii Page 4 … 68 4.3.3 Story Generator …
Creative design of emergency management scenarios driven by semantics: An application to smart cities
A De Nicola, M Melchiori, ML Villani – Information Systems, 2019 – Elsevier
JavaScript is disabled on your browser. Please enable JavaScript to use all the features on this page. Skip to main content Skip to article …
A narrative sentence planner and structurer for domain independent, parameterizable storytelling
SM Lukin, MA Walker – Dialogue & Discourse, 2019 – 129.70.43.92
… Keywords: Natural Language Generation, Personalized Storytelling, Sentence Planning 1. Introduction … Thus the NLG story gap arises as the gap between the plan-like meaning representations used by story generators, and the input assumptions of NLG engines …
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 … not expressly a story generator, that its primary concern was with characters’ goals, not …
Neural Networks for Narrative Continuation
M Roemmele – 2018 – roemmele.github.io
… prediction task (the Data-driven Interactive Narrative Engine; DINE), which enables a user to choose the direction of a story via natural language input. The resulting … In 1973, the first story generator Novel Writer (Klein et al., 1973) emerged. Novel Writer gener …