Livre: Computational Modeling of Narrative, Inderjeet Mani

[Thierry Hamon]

Date: Wed, 30 Jan 2013 10:49:06 -0500
From: Graeme Hirst <gh at cs.toronto.edu>
Message-Id: <CA5D1A6B-7BEE-4834-B1C1-DF83A2A087CC at cs.toronto.edu>
X-url: http://www.morganclaypool.com/doi/abs/10.2200/S00459ED1V01Y201212HLT018


New Book from Morgan & Claypool Publishers

Computational Modeling of Narrative
by Inderjeet Mani
January 2013

Available for download here:
http://www.morganclaypool.com/doi/abs/10.2200/S00459ED1V01Y201212HLT018

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.

____________________

In the series, Synthesis Lectures on Human Language Technologies, edited
by Graeme Hirst, University of Toronto:
http://www.morganclaypool.com/toc/hlt/1/1

This title is available online, free of charge to members of
institutions that that have licensed the Synthesis Digital Library of
Engineering and Computer Science. Use of this book as a course text is
encouraged and the text may be downloaded without restriction at
licensed institutions or after a one-time fee of $30.00 at non-licensed
schools. To find out whether your institution is a licensed, visit
<http://www.morganclaypool.com/page/licensed> or follow the links above
and attempt to download the PDF.

A print copy of this book can also be purchased directly from the Morgan
& Claypool Bookstore (http://secure.aidcvt.com/mcp/) for $40.00 USD or
from Amazon and other booksellers worldwide.

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