@inbook{0f5bee0ccd21496e8673945c5fed001c,
title = "An evaluation of a lexicographer's workbench incorporating word sense disambiguation",
abstract = "NLP system developers and corpus lexicographers would both benefit from a tool for finding and organizing the distinctive patterns of use of words in texts. Such a tool would be an asset for both language research and lexicon development, particularly for lexicons for Machine Translation. We have developed the WASPBENCH, a tool that (1) presents a {"}word sketch{"}, a summary of the corpus evidence for a word, to the lexicographer; (2) supports the lexicographer in analysing the word into its distinct meanings and (3) uses the lexicographer's analysis as the input to a state-of-the-art word sense disambiguation (WSD) algorithm, the output of which is a {"}word expert{"} for the word which can then disambiguate new instances of the word. In this paper we describe a set of evaluation experiments, designed to establish whether WASPBENCH can be used to save time and improve performance in the development of a lexicon for Machine Translation or other NLP application.",
author = "Adam Kilgarriff and Rob Koeling",
year = "2003",
doi = "10.1007/3-540-36456-0_23",
language = "Ingl{\'e}s",
isbn = "3540005323",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "225--240",
editor = "Alexander Gelbukh",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}