24.485, Books: Computational Modeling of Narrative: Mani

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LINGUIST List: Vol-24-485. Sun Jan 27 2013. ISSN: 1069 - 4875.

Subject: 24.485, Books: Computational Modeling of Narrative: Mani

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Date: Sun, 27 Jan 2013 22:22:50
From: David Schlangen [schlangen at morganclaypool.com]
Subject: Computational Modeling of Narrative: Mani

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Title: Computational Modeling of Narrative 
Series Title: Synthesis Lectures on Human Language Technologies  

Publication Year: 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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