ISBN:
9783540681588
,
9783540681564
Language:
English
Pages:
Online-Ressource (IX, 131p, digital)
Series Statement:
SpringerLink
Series Statement:
Bücher
Parallel Title:
Buchausg. u.d.T. Gliozzo, Alfio Semantic domains in computational linguistics
Keywords:
Information storage and retrieval systems
;
Artificial intelligence
;
Translators (Computer programs)
;
Computational linguistics
;
Linguistics
;
Artificial intelligence
;
Computational linguistics
;
Information storage and retrieval systems
;
Linguistics
;
Translators (Computer programs)
;
Field theory (Linguistics)
;
Structural linguistics
;
Computational linguistics
;
Wortfeld
;
Strukturelle Linguistik
;
Computerlinguistik
;
Wortfeld
;
Strukturelle Linguistik
;
Computerlinguistik
Abstract:
Semantic fields are lexically coherent – the words they contain co-occur in texts. In this book the authors introduce and define semantic domains, a computational model for lexical semantics inspired by the theory of semantic fields. Semantic domains allow us to exploit domain features for texts, terms and concepts, and they can significantly boost the performance of natural-language processing systems. Semantic domains can be derived from existing lexical resources or can be acquired from corpora in an unsupervised manner. They also have the property of interlinguality, and they can be used to relate terms in different languages in multilingual application scenarios. The authors give a comprehensive explanation of the computational model, with detailed chapters on semantic domains, domain models, and applications of the technique in text categorization, word sense disambiguation, and cross-language text categorization. This book is suitable for researchers and graduate students in computational linguistics.
Description / Table of Contents:
Semantic Domains in Computational Linguistics; Preface; Contents; 1 Introduction; 2 Semantic Domains; 3 Domain Models; 4 Semantic Domains in Text Categorization; 5 Semantic Domains in Word SenseDisambiguation; 6 Multilingual Domain Models; 7 Conclusion and Perspectives for FutureResearch; A Appendix: Kernel Methods for NaturalLanguage Processing; References
Note:
Includes bibliographical references
DOI:
10.1007/978-3-540-68158-8
URL:
Volltext
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