<p>On-line information -- and free text in particular -- has emerged as a major, yet unexploited, resource available in raw form. Available, but not accessible. The lexicon provides the major key for enabling accessibility to on-line text. The expert contributors to this book explore the range of possibilities for the generation of extensive lexicons. In so doing, they investigate the use of existing on-line dictionaries and thesauri, and explain how lexicons can be acquired from the corpus -- the text under investigation -- itself. Leading researchers in four related fields offer the latest investigations: computational linguists cover the natural language processing aspect; statisticians point out the issues involved in the use of massive data; experts discuss the limitations of current technology; and lexicographers share their experience in the design of the traditional dictionaries.</p> <p><b>Contents: U. Zernik,</b> Introduction. <b>Part I:</b><i>Lexical Senses.</i><b>P. Jacobs,</b> Making Sense of Lexical Acquisition. <b>R. Krovetz,</b> Lexical Acquisition and Information Retrieval. <b>B. Slator,</b> Using Context for Sense Preference. <b>U. Zernik,</b> Tagging Word Sense In Corpus. <b>Part II:</b><i>Lexical Statistics.</i><b>K. Church, W. Gale, P. Hanks, D. Hindle,</b> Using Statistics in Lexical Analysis. <b>F. Smadja,</b> Macrocoding the Lexicon with Co-Occurrence Knowledge. <b>N. Calzolari,</b> Lexical Databases and Textual Corpora: Perspectives of Integration for a Lexical Knowledge-Base. <b>Part III:</b><i>Lexical Representation.</i><b>R. Beckwith, C. Fellbaum, D. Gross, G. Miller,</b> WordNet: A Lexical Database Organized on Psycholinguistic Principles. <b>B. Atkins, B. Levin,</b> Admitting Impediments. <b>B. Dorr,</b> Conceptual Basis of the Lexicon in Machine Translation. <b>M. Dyer,</b> Lexical Acquisition Through Symbol Recirculation. <b>Part IV:</b><i>Lexical Semantics.</i><b>P. Velardi,</b> Acquiring a Semantic Lexicon for Natural Language Processing. <b>L. Braden-Harder, W. Zadrozny,</b> Lexicons for Broad Coverage Semantics. <b>J. Martin,</b> Representing and Acquiring Metaphor-Based Polysemy.</p>