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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.
This book constitutes the refereed proceedings of the first
International Conference on Adaptive Hypermedia and Adaptive
Web-Based Systems, AH 2000, held in Trento, Italy, in August
2000.
The 22 revised full papers presented together with 35 short papers
were carefully reviewed and selected from 55 submissions. Among the
topics covered are hypertext, user modeling, machine learning,
natural language generation, information retrieval, intelligent
tutoring systems, cognitive science, web-based education,
etc.
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.
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