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Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
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Computational Modeling of Narrative (Paperback)
Loot Price: R1,096
Discovery Miles 10 960
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Computational Modeling of Narrative (Paperback)
Series: Synthesis Lectures on Human Language Technologies
Expected to ship within 10 - 15 working days
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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
General
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