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LINGUIST List 24.485

Sun Jan 27 2013

Books: Computational Modeling of Narrative: Mani

Editor for this issue: Rebekah McClure <rebekahlinguistlist.org>

Date: 23-Jan-2013
From: David Schlangen <schlangenmorganclaypool.com>
Subject: Computational Modeling of Narrative: Mani
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Title: Computational Modeling of Narrative
Series Title: Synthesis Lectures on Human Language Technologies
Published: 2012
Publisher: Morgan & Claypool Publishers
               

Book URL: http://dx.doi.org/10.2200/S00459ED1V01Y201212HLT018

Author: Inderjeet Mani
Electronic: ISBN: 9781608459827 Pages: 142 Price: U.S. $ 30
Paperback: ISBN: 9781608459810 Pages: 142 Price: U.S. $ 40
Abstract:

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.


Linguistic Field(s): Computational Linguistics
                            Ling & Literature

Written In: English (eng)

See this book announcement on our website:
http://linguistlist.org/pubs/books/get-book.cfm?BookID=64012


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