Using similarity measures to extend the LinGO Lexicon

Lynne Cahill

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Deep processing of natural language requires large scale lexical resources that have sufficient coverage at a sufficient level of detail and accuracy (i.e. both recall and precision). Hand-crafted lexicons are extremely labour-intensive to create and maintain, and require continuous updating and extension to retain their level of usability. In this paper we present a technique for extending lexicons using similarity measures that can be extracted from corpora. The technique involves creating lexical entries for unknown words based on entries for words that are known and that are deemed to be distributionally similar. We demonstrate the usefulness of the approach by providing an extended lexicon for the LinGO system using similarity measures extracted from the BNC. We also discuss the advantages and disadvantages of using such lexical extensions in different ways – principally either as part of the main lexicon or as a separate resource used only for “last resort” use.
Original languageEnglish
Title of host publicationProceedings of the 6th International Language Resources and Evaluation (LREC'08)
Pages3276-3282
Number of pages7
Publication statusPublished - 2008
EventProceedings of the 6th International Language Resources and Evaluation (LREC'08) - Marrakech, Morocco
Duration: 1 Jan 2008 → …

Conference

ConferenceProceedings of the 6th International Language Resources and Evaluation (LREC'08)
Period1/01/08 → …

Bibliographical note

In European Language Resources Association (ELRA), ISBN 2-9517408

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    Cahill, L. (2008). Using similarity measures to extend the LinGO Lexicon. In Proceedings of the 6th International Language Resources and Evaluation (LREC'08) (pp. 3276-3282) http://www.lrec-conf.org/proceedings/lrec2008/pdf/823_paper.pdf