Computational Models Of Narrative

Download Computational Models Of Narrative full books in PDF, epub, and Kindle. Read online Computational Models Of Narrative ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Computational Modeling of Narrative

Author : Inderjeet Mani
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608459810
Total Pages : 145 pages
Book Rating : 4.6/5 (84 download)

DOWNLOAD NOW!

Book Synopsis Computational Modeling of Narrative by : Inderjeet Mani

Download or read book Computational Modeling of Narrative written by Inderjeet Mani and published by Morgan & Claypool Publishers. This book was released on 2013 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of narrative (or story) understanding and generation is one of the oldest in natural language processing (NLP) and artificial intelligence (AI), which is hardly surprising, since storytelling is such a fundamental and familiar intellectual and social activity. In recent years, the demands of interactive entertainment and interest in the creation of engaging narratives with life-like characters have provided a fresh impetus to this field. This book provides an overview of the principal problems, approaches, and challenges faced today in modeling the narrative structure of stories. The book introduces classical narratological concepts from literary theory and their mapping to computational approaches. It demonstrates how research in AI and NLP has modeled character goals, causality, and time using formalisms from planning, case-based reasoning, and temporal reasoning, and discusses fundamental limitations in such approaches. It proposes new representations for embedded narratives and fictional entities, for assessing the pace of a narrative, and offers an empirical theory of audience response. These notions are incorporated into an annotation scheme called NarrativeML. The book identifies key issues that need to be addressed, including annotation methods for long literary narratives, the representation of modality and habituality, and characterizing the goals of narrators. It also suggests a future characterized by advanced text mining of narrative structure from large-scale corpora and the development of a variety of useful authoring aids. This is the first book to provide a systematic foundation that integrates together narratology, AI, and computational linguistics. It can serve as a narratology primer for computer scientists and an elucidation of computational narratology for literary theorists. It is written in a highly accessible manner and is intended for use by a broad scientific audience that includes linguists (computational and formal semanticists), AI researchers, cognitive scientists, computer scientists, game developers, and narrative theorists.

Computational Models of Narrative

Author : Association for the Advancement of Artificial Intelligence
Publisher :
ISBN 13 : 9781577354864
Total Pages : 90 pages
Book Rating : 4.3/5 (548 download)

DOWNLOAD NOW!

Book Synopsis Computational Models of Narrative by : Association for the Advancement of Artificial Intelligence

Download or read book Computational Models of Narrative written by Association for the Advancement of Artificial Intelligence and published by . This book was released on 2010-11-13 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Modeling of Narrative

Author : Inderjeet Mani
Publisher : Springer Nature
ISBN 13 : 3031021479
Total Pages : 124 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Computational Modeling of Narrative by : Inderjeet Mani

Download or read book Computational Modeling of Narrative written by Inderjeet Mani and published by Springer Nature. This book was released on 2022-05-31 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of narrative (or story) understanding and generation is one of the oldest in natural language processing (NLP) and artificial intelligence (AI), which is hardly surprising, since storytelling is such a fundamental and familiar intellectual and social activity. In recent years, the demands of interactive entertainment and interest in the creation of engaging narratives with life-like characters have provided a fresh impetus to this field. This book provides an overview of the principal problems, approaches, and challenges faced today in modeling the narrative structure of stories. The book introduces classical narratological concepts from literary theory and their mapping to computational approaches. It demonstrates how research in AI and NLP has modeled character goals, causality, and time using formalisms from planning, case-based reasoning, and temporal reasoning, and discusses fundamental limitations in such approaches. It proposes new representations for embedded narratives and fictional entities, for assessing the pace of a narrative, and offers an empirical theory of audience response. These notions are incorporated into an annotation scheme called NarrativeML. The book identifies key issues that need to be addressed, including annotation methods for long literary narratives, the representation of modality and habituality, and characterizing the goals of narrators. It also suggests a future characterized by advanced text mining of narrative structure from large-scale corpora and the development of a variety of useful authoring aids. This is the first book to provide a systematic foundation that integrates together narratology, AI, and computational linguistics. It can serve as a narratology primer for computer scientists and an elucidation of computational narratology for literary theorists. It is written in a highly accessible manner and is intended for use by a broad scientific audience that includes linguists (computational and formal semanticists), AI researchers, cognitive scientists, computer scientists, game developers, and narrative theorists. Table of Contents: List of Figures / List of Tables / Narratological Background / Characters as Intentional Agents / Time / Plot / Summary and Future Directions

5th Workshop on Computational Models of Narrative

Author : Mark A. Finlayson
Publisher :
ISBN 13 : 9783939897712
Total Pages : pages
Book Rating : 4.8/5 (977 download)

DOWNLOAD NOW!

Book Synopsis 5th Workshop on Computational Models of Narrative by : Mark A. Finlayson

Download or read book 5th Workshop on Computational Models of Narrative written by Mark A. Finlayson and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

SDV. Sprache und Datenverarbeitung

Author : Hermann Cölfen
Publisher :
ISBN 13 : 9783956050060
Total Pages : 194 pages
Book Rating : 4.0/5 (5 download)

DOWNLOAD NOW!

Book Synopsis SDV. Sprache und Datenverarbeitung by : Hermann Cölfen

Download or read book SDV. Sprache und Datenverarbeitung written by Hermann Cölfen and published by . This book was released on 2015 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Understanding Narratives for National Security

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309476399
Total Pages : 73 pages
Book Rating : 4.3/5 (94 download)

DOWNLOAD NOW!

Book Synopsis Understanding Narratives for National Security by : National Academies of Sciences, Engineering, and Medicine

Download or read book Understanding Narratives for National Security written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2018-08-03 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning in October 2017, the National Academies of Sciences, Engineering, and Medicine organized a set of workshops designed to gather information for the Decadal Survey of Social and Behavioral Sciences for Applications to National Security. The sixth workshop focused on understanding narratives for national security purposes, and this publication summarizes the presentations and discussions from this workshop.

Narrative Intelligence

Author : Michael Mateas
Publisher : John Benjamins Publishing
ISBN 13 : 9027297061
Total Pages : 350 pages
Book Rating : 4.0/5 (272 download)

DOWNLOAD NOW!

Book Synopsis Narrative Intelligence by : Michael Mateas

Download or read book Narrative Intelligence written by Michael Mateas and published by John Benjamins Publishing. This book was released on 2003-02-27 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Narrative Intelligence (NI) — the confluence of narrative, Artificial Intelligence, and media studies — studies, models, and supports the human use of narrative to understand the world. This volume brings together established work and founding documents in Narrative Intelligence to form a common reference point for NI researchers, providing perspectives from computational linguistics, agent research, psychology, ethology, art, and media theory. It describes artificial agents with narratively structured behavior, agents that take part in stories and tours, systems that automatically generate stories, dramas, and documentaries, and systems that support people telling their own stories. It looks at how people use stories, the features of narrative that play a role in how people understand the world, and how human narrative ability may have evolved. It addresses meta-issues in NI: the history of the field, the stories AI researchers tell about their research, and the effects those stories have on the things they discover. (Series B)

Computational Models of Argument

Author : S. Parsons
Publisher : IOS Press
ISBN 13 : 1614994366
Total Pages : 500 pages
Book Rating : 4.6/5 (149 download)

DOWNLOAD NOW!

Book Synopsis Computational Models of Argument by : S. Parsons

Download or read book Computational Models of Argument written by S. Parsons and published by IOS Press. This book was released on 2014-09-10 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Argumentation, which has long been a topic of study in philosophy, has become a well-established aspect of computing science in the last 20 years. This book presents the proceedings of the fifth conference on Computational Models of Argument (COMMA), held in Pitlochry, Scotland in September 2014. Work on argumentation is broad, but the COMMA community is distinguished by virtue of its focus on the computational and mathematical aspects of the subject. This focus aims to ensure that methods are sound – that they identify arguments that are correct in some sense – and provide an unambiguous specification for implementation; producing programs that reason in the correct way and building systems capable of natural argument or of recognizing argument. The book contains 24 long papers and 18 short papers, and the 21 demonstrations presented at the conference are represented in the proceedings either by an extended abstract or by association with another paper. The book will be of interest to all those whose work involves argumentation as it relates to artificial intelligence.

6th Workshop on Computational Models of Narrative

Author : CMN
Publisher :
ISBN 13 : 9783939897934
Total Pages : pages
Book Rating : 4.8/5 (979 download)

DOWNLOAD NOW!

Book Synopsis 6th Workshop on Computational Models of Narrative by : CMN

Download or read book 6th Workshop on Computational Models of Narrative written by CMN and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

7th Workshop on Computational Models of Narrative (CMN 2016)

Author : Ben Miller
Publisher :
ISBN 13 : 9783959770200
Total Pages : pages
Book Rating : 4.7/5 (72 download)

DOWNLOAD NOW!

Book Synopsis 7th Workshop on Computational Models of Narrative (CMN 2016) by : Ben Miller

Download or read book 7th Workshop on Computational Models of Narrative (CMN 2016) written by Ben Miller and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

2013 Workshop on Computational Models of Narrative

Author : Mark A. Finlayson
Publisher :
ISBN 13 : 9783939897576
Total Pages : 0 pages
Book Rating : 4.8/5 (975 download)

DOWNLOAD NOW!

Book Synopsis 2013 Workshop on Computational Models of Narrative by : Mark A. Finlayson

Download or read book 2013 Workshop on Computational Models of Narrative written by Mark A. Finlayson and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

5th Workshop on Computational Models of Narrative

Author :
Publisher :
ISBN 13 : 9781634392716
Total Pages : 268 pages
Book Rating : 4.3/5 (927 download)

DOWNLOAD NOW!

Book Synopsis 5th Workshop on Computational Models of Narrative by :

Download or read book 5th Workshop on Computational Models of Narrative written by and published by . This book was released on 2014 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Computational Models with Python

Author : Jose M. Garrido
Publisher : CRC Press
ISBN 13 : 1498712045
Total Pages : 492 pages
Book Rating : 4.4/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Computational Models with Python by : Jose M. Garrido

Download or read book Introduction to Computational Models with Python written by Jose M. Garrido and published by CRC Press. This book was released on 2015-08-28 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy m

Storylistening

Author : Sarah Dillon
Publisher : Routledge
ISBN 13 : 1000467260
Total Pages : 226 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Storylistening by : Sarah Dillon

Download or read book Storylistening written by Sarah Dillon and published by Routledge. This book was released on 2021-11-16 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Storylistening makes the case for the urgent need to take stories seriously in order to improve public reasoning. Dillon and Craig provide a theory and practice for gathering narrative evidence that will complement and strengthen, not distort, other forms of evidence, including that from science. Focusing on the cognitive and the collective, Dillon and Craig show how stories offer alternative points of view, create and cohere collective identities, function as narrative models, and play a crucial role in anticipation. They explore these four functions in areas of public reasoning where decisions are strongly influenced by contentious knowledge and powerful imaginings: climate change, artificial intelligence, the economy, and nuclear weapons and power. Vivid performative readings of stories from The Ballad of Tam-Lin to The Terminator demonstrate the insights that storylistening can bring and the ways it might be practised. The book provokes a reimagining of what a public humanities might look like, and shows how the structures and practices of public reasoning can evolve to better incorporate narrative evidence. Storylistening aims to create the conditions in which the important task of listening to stories is possible, expected, and becomes endemic. Taking the reader through complex ideas from different disciplines in ways that do not require any prior knowledge, this book is an essential read for policymakers, political scientists, students of literary studies, and anyone interested in the public humanities and the value, importance, and operation of narratives.

Computational Analysis of Storylines

Author : Tommaso Caselli
Publisher : Cambridge University Press
ISBN 13 : 1108490573
Total Pages : 275 pages
Book Rating : 4.1/5 (84 download)

DOWNLOAD NOW!

Book Synopsis Computational Analysis of Storylines by : Tommaso Caselli

Download or read book Computational Analysis of Storylines written by Tommaso Caselli and published by Cambridge University Press. This book was released on 2021-11-25 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: A review of recent computational (deep learning) approaches to understanding news and nonfiction stories.

From Narratology to Computational Story Composition and Back

Author : L. Berov
Publisher : IOS Press
ISBN 13 : 1643683837
Total Pages : 362 pages
Book Rating : 4.6/5 (436 download)

DOWNLOAD NOW!

Book Synopsis From Narratology to Computational Story Composition and Back by : L. Berov

Download or read book From Narratology to Computational Story Composition and Back written by L. Berov and published by IOS Press. This book was released on 2023-03-10 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although both deal with narratives, the two disciplines of Narrative Theory (NT) and Computational Story Composition (CSC) rarely exchange insights and ideas or engage in collaborative research. The former has its roots in the humanities, and attempts to analyze literary texts to derive an understanding of the concept of narrative. The latter is in the domain of Artificial Intelligence, and investigates the autonomous composition of fictional narratives in a way that could be deemed creative. The two disciplines employ different research methodologies at contradistinct levels of abstraction, making simultaneous research difficult, while a close exchange between the two disciplines would undoubtedly be desirable, not least because of the complementary approach to their object of study. This book, From Narratology to Computational Story Composition and Back, describes an exploratory study in generative modeling, a research methodology proposed to address the methodological differences between the two disciplines and allow for simultaneous NT and CSC research. It demonstrates how implementing narratological theories as computational, generative models can lead to insights for NT, and how grounding computational representations of narrative in NT can help CSC systems to take over creative responsibilities. It is the interplay of these two strands that underscores the feasibility and utility of generative modeling. The book is divided into 6 chapters: an introduction, followed by chapters on plot, fictional characters, plot quality estimation, and computational creativity, wrapped up by a conclusion. The book will be of interest to all those working in the fields of narrative theory and computational creativity.

In-Depth Understanding

Author : Michael G. Dyer
Publisher : MIT Press (MA)
ISBN 13 : 9780262541558
Total Pages : 458 pages
Book Rating : 4.5/5 (415 download)

DOWNLOAD NOW!

Book Synopsis In-Depth Understanding by : Michael G. Dyer

Download or read book In-Depth Understanding written by Michael G. Dyer and published by MIT Press (MA). This book was released on 1983-07-01 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation describes a theory of memory representation, organization, and processing for in-depth understanding of complex narrative texts. Complicated texts require that many different knowledge sources be represented, coordinated, instantiated, searched and applied. Such sources include: goals, plans, scripts, physical objects, settings, interpersonal relationships, social roles, and emotional reactions. This theory is implemented in BORIS, a computer program which reads and answers questions about narratives involving such topics as: divorce, legal disputes, personal favors, and service contracts.