Evaluating sense disambiguation across diverse parameter spaces
Natural Language Engineering
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
HLT '93 Proceedings of the workshop on Human Language Technology
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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 (MT). 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 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.