Anaphora resolution / / Ruslan Mitkov

• Record Nr.: UNINA9910463963203321
• Autore: Mitkov Ruslan
• Pubbl/distr/stampa: London ; ; New York : , : Routledge, , 2013
• ISBN: 1-315-84008-1; 1-317-88180-X; 1-317-88181-8
• Descrizione fisica: 1 online resource (235 p.)
• Collana: Studies in Language and Linguistics
• Disciplina: 415
• Soggetti: Anaphora (Linguistics); Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "First published 2002 by Pearson Education Limited"--T.p. verso.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Half Title; Title Page; Copyright Page; Table of Contents; Dedication; Acknowledgements; Preface; Acronyms and abbreviations; Introduction; Chapter One: Linguistic fundamentals; 1.1 Basic notions and terminology; 1.2 Coreference; 1.3 Discourse entities; 1.4 Varieties of anaphora according to the form of the anaphor; 1.4.1 Pronominal anaphora; 1.4.1.1 Pleonastic it; 1.4.1.2 Other non-anaphoric uses of pronouns; 1.4.2 Lexical noun phrase anaphora; 1.4.3 Noun anaphora; 1.4.4 Verb anaphora, adverb anaphora; 1.4.5 Zero anaphora; 1.4.5.1 Zero pronominal anaphora; 1.4.5.2 Zero noun anaphora; 1.4.5.3 Zero verb anaphora1.4.5.4 Verb phrase zero anaphora (ellipsis); 1.5 Types of anaphora according to the locations of the anaphor and the antecedent; 1.6 Indirect anaphora; 1.7 Identity-of-sense anaphora and identity-of-reference anaphora; 1.8 Types of antecedents; 1.9 Location of the antecedent; 1.10 Anaphora and cataphora; 1.11 Anaphora and deixis; 1.12 Anaphora and ambiguity; 1.13 Anaphora and the resolution moment; 1.14 Summary; Chapter Two: The process of automatic anaphora resolution; 2.1 Anaphora resolution and the knowledge required; 2.1.1 Morphological and lexical knowledge; 2.1.2 Syntactic knowledge2.1.3 Semantic knowledge; 2.1.4 Discourse knowledge; 2.1.5 Real-world (common-sense) knowledge; 2.2 Anaphora resolution in practice; 2.2.1 Identification of anaphors; ; 2.2.1.1 Identification of anaphoric pronouns; 2.2.1.2 Identification of anaphoric noun phrases; 2.2.1.3 Tools and resources for the identification of anaphors; 2.2.2 Location of the candidates for antecedents; 2.2.2.1 The search scope of candidates for antecedent; 2.2.2.2 Tools and resources needed for the location of potential candidates; 2.2.3 The resolution algorithm: factors in anaphora resolution; 2.2.3.1 Constraints2.2.3.2 Preferences; 2.2.3.3 Example of anaphora resolution based on simple factors; 2.2.3.4 Combination and interaction of constraints and preferences; 2.2.3.5 Tools and resources needed for implementing anaphora resolution factors; 2.3 Summary; Chapter Three: Theories and formalisms used in anaphoraresolution; 3.1 Centering; 3.2 Binding theory; 3.2.1 Interpretation of reflexives; 3.2.2 Interpretation of personal pronouns; 3.2.3 Interpretation of lexical noun phrases; 3.3 Other related work; 3.4 Summary; Chapter Four: The past: work in the 1960s, 1970s and 1980s; 4.1 Early work in anaphora resolution4.2 Student; 4.3 Shrdlu; 4.4 Lunar; 4.5 Hobbs's naïve approach; 4.5.1 The algorithm; 4.5.2 Evaluation of Hobbs' s algorithm; 4.6 The BFP algorithm; 4.7 Carter's shallow processing approach; 4.8 Rich and LuperFoy's distributed architecture; 4.9 Carbonell and Brown's multi-strategy approach; 4.10 Other work; 4.11 Summary; Chapter Five: The present: knowledge-poor and corpus-based approaches in the 1990s and beyond; 5.1 Main trends in recent anaphora resolution research; 5.2 Collocation patterns-based approach; 5.3 Lappin and Leass's algorithm; 5.3.1 Overview; 5.3.2 The resolution algorithm
• Sommario/riassunto: Teaching computers to solve language problems is one of the major challengesof natural language processing. There is a large amount of interesting researchdevoted to this field. This book fills an existing gap in the literature with anup-to-date survey of the field, including the author's own contributions.A number of different fields overlap in anaphora resolution - computationallinguistics, natural language processing (NLP), grammar, semantics, pragmatics,discourse analysis and artificial intelligence. This book begins by introducingbasic n