Breadth and Depth of Semantic Lexicons (TEXT, SPEECH AND LANGUAGE TECHNOLOGY Volume 10) Review

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Breadth and Depth of Semantic Lexicons (TEXT, SPEECH AND LANGUAGE TECHNOLOGY Volume 10) Review"This volume emerged from the workshop on Breadth and Depth of Semantic Lexicons [at] the 34th Annual Meeting of the Association for Computational Linguistics on June 28, 1996, Santa Cruz, California" (preface). The book contains 15 papers presented at the workshop. It targets researchers who seek more efficient automated methods of building semantic lexicons--working vocabularies--from large samples of natural language.
The papers present and evaluate technical approaches to achieving adequate coverage (breadth) and content (depth). Issues addressed include lexical rules, underspecification, coercion and machine readable dictionaries. Specific applications include CyC, Generative Lexicon, Levin's alternations, Mikrokosmos, and WordNet. Two key issues addressed across the chapters are how to resolve lexical ambiguity and the pros and cons of using lexical rules to classify related word forms.
The contributed chapters are grouped into four sections. Four papers in "Lexical Rules and Underspecification" discuss different approaches to using lexical rules and the tradeoffs of each approach. Three chapters in "Breadth of Semantic Lexicons" describe the use of existing lexical databases such as WordNet to acquire information about regularities in language. The third section, "Depth of Semantic Lexicons," contains four papers that focus on capturing an adequate level of detail from language samples. Four papers in the final section, "Lexical Semantics and Pragmatics," introduce issues of pragmatics, such as social constraints on conversation, in acquiring lexical information.
These papers were of initial interest to linguistic specialists and most have been dated by the subsequent evolution of computational linguistics. The continued use of WordNet in text mining and content analysis make the chapter by Christianne Fellbaum relevant to current applied research. The evolution of automated essay scoring by the Educational Testing Service brings similar relevance to the chapter on classification of free response essays by Jill Burstein and her colleagues.
This is a useful book if you work with text mining or related projects. Unless you can find a good deal on a used copy, however, I suggest borrowing it from a library and copying the chapters you need. Fair use and all that...Breadth and Depth of Semantic Lexicons (TEXT, SPEECH AND LANGUAGE TECHNOLOGY Volume 10) Overview

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