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.
About the Author: 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
