General Word Sense Disambiguation Method Based on a Full Sentential Context
نویسندگان
چکیده
منابع مشابه
General Word Sense Disambiguation Method Based on a Full Sentential Context
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. In spite of a very small training corpus, we report an overall ac...
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Word sense disambiguation (WSD) is a key factor in solving natural language processing problems. The purpose of WSD is to make computers automatically determine the specific meaning of a word in a specific context. In this regard, state-of-art studies have focussed on the co-occurrences of words to measure context similarity. However, a problem with these approaches is that they consider all th...
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ژورنال
عنوان ژورنال: Journal of Natural Language Processing
سال: 1998
ISSN: 1340-7619,2185-8314
DOI: 10.5715/jnlp.5.2_47