Full Description
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.
Contents
ONE: Linguistic Fundamentals TWO: The Process of Automatic Anaphora Resolution THREE: Theories and Formalisms used in Anaphora Resolution FOUR: The Past: Work in the 1960's, 1970's and 1980's FIVE: The Present: Knowledge-poor and Corpus-based Approaches in the 1990's and Beyond SIX: The Role of Corpora in Anaphora Resolution SEVEN: An Approach in Focus: Mitkov's Robust, Knowledge-poor Algorithm EIGHT: Evaluation in Anaphora Resolution NINE: Outstanding Issues
