1.

Record Nr.

UNINA9910817054203321

Titolo

Corpus-based and computational approaches to discourse anaphora / / edited by Simon Botley, Anthony Mark McEnery

Pubbl/distr/stampa

Amsterdam ; ; Philadelphia, : J. Benjamins, c2000

ISBN

1-282-16311-6

9786612163111

90-272-9890-4

Edizione

[1st ed.]

Descrizione fisica

1 online resource (264 pages)

Collana

Studies in corpus linguistics, , 1388-0373 ; ; v. 3

Altri autori (Persone)

BotleySimon

McEneryTony <1964->

Disciplina

401/.41/0285

Soggetti

Anaphora (Linguistics) - Data processing

Discourse analysis - Data processing

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and indexes.

Nota di contenuto

Corpus-based and computational approaches to discourse anaphora -- Editorial page -- Title page -- LCC data -- Table of Contents -- Chapter 1. Discourse anaphora: The need for synthesis -- Chapter 2. Demonstrative expressions in argumentative discourse -- Chapter 3. Is it possible to predetermine a referent included in a French N De N structure? -- Chapter 4. A corpus-based study of anaphora in English and Portuguese -- Chapter 5. Conversational strategies using full NP anaphors -- Chapter 6. Some uses of demonstratives in spoken Swedish -- Chapter 7. Pronoun resolution: The practical alternative -- Chapter 8. Quantitative evaluation of coreference algorithms in an information extraction system -- Chapter 9. Anaphoric reference and ellipsis resolution in a telephone-based spoken language system for accessing email -- Chapter 10. Processing definite descriptions in corpora -- Chapter 11. Indirect reference in Japanese sentences -- Chapter 12. Generating coreferential anaphoric definite NPs -- Name Index -- Subject Index.

Sommario/riassunto

Discourse anaphora is a challenging linguistic phenomenon that has given rise to research in fields as diverse as linguistics, computational linguistics and cognitive science. Because of the diversity of approaches



these fields bring to the anaphora problem, the editors of this volume argue that there needs to be a synthesis, or at least a principled attempt to draw the differing strands of anaphora research together. The selected papers in this volume all contribute to the aim of synthesis and were selected to represent the growing importance of corpus-based and computational approaches to anaphora description, and to developing natural language systems for resolving anaphora in natural language.