Anaphora Resolution

Front Cover
Routledge, Feb 24, 2014 - Language Arts & Disciplines - 234 pages

Teaching computers to solve language problems is one of the major challenges

of natural language processing. There is a large amount of interesting research

devoted to this field. This book fills an existing gap in the literature with an

up-to-date survey of the field, including the author’s own contributions.

A number of different fields overlap in anaphora resolution – computational

linguistics, natural language processing (NLP), grammar, semantics, pragmatics,

discourse analysis and artificial intelligence. This book begins by introducing

basic notions and terminology, moving onto early research methods and

approaches, recent developments and applications, and future directions.

It addresses various issues related to the practical implementation of anaphora

systems, such as rules employed, algorithms implemented or evaluation

techniques used. This is an ideal reference book for students and researchers

in this particular area of computational linguistics.

Since anaphora resolution is vital for the development of any practical NLP

system, the book will be of interest to readers from both academia and

industry.

 

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Contents

Acknowledgements
Linguistic fundamentals
The process
factors in anaphora
The present knowledgepoor and corpusbased approaches
The role of corpora in anaphora resolution
Mitkovs robust knowledgepoor
Evaluation in anaphora resolution
Outstanding issues
References
Index
Copyright

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About the author (2014)

Dr. Ruslan Mitkov is Professor of Computational Linguistics and Language Engineering at the University of Wolverhampton. Ruslan Mitkov's publications and interests cover areas such as anaphora resolution, machine translation, automatic abstracting, centering, term extraction, question answering and computer-aided language learning

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