
arXiv: cs/0510015
This article describes the results of a systematic in-depth study of the criteria used for word sense disambiguation. Our study is based on 60 target words: 20 nouns, 20 adjectives and 20 verbs. Our results are not always in line with some practices in the field. For example, we show that omitting non-content words decreases performance and that bigrams yield better results than unigrams.
FOS: Computer and information sciences, sense tagged corpora, Computer Science - Computation and Language, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Word sense disambiguation, Computation and Language (cs.CL), cooccurrences
FOS: Computer and information sciences, sense tagged corpora, Computer Science - Computation and Language, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Word sense disambiguation, Computation and Language (cs.CL), cooccurrences
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