General Word Sense Disambiguation Method Based on a Full Sentential Context

Jiri Stetina, Makoto Nagao
1998 Journal of Natural Language Processing  
This paper presents a new general supervised word sense disambiguation method based on a relatively small syntactically parsed and semantically tagged training corpus.The method exploits a full sentential context and all the explicit semantic relations in a sentence to identify the senses of all of that sentence's content words. It solves the sparse data problem of a small training corpus by substituting the words by their semantic classes.In spite of a very small training corpus,we report an
more » ... erall accuracy of 80. 3%(85.7,63.9,83.6 and 86.5%,for nouns,verbs,adjectives and adverbs,respectively),which exceeds the accuracy of a statistical sense-frequency based semantic tagging,the only really applicable general disambiguating technique. Because the method uses the sentential syntactic structure it is particularly suitable for integration with a probabilistic syntactic analyser.
doi:10.5715/jnlp.5.2_47 fatcat:2niac5taprettapaslweaw57om