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Abstract: This paper proposes an algorithm for word sense disambiguation based on a vector representation of word similarity derived from lexical co-occurrence. It differs from standard approaches by allowing for as fine grained distinctions as is warranted by the information at hand, rather than supposing a fixed number of senses per word, and by allowing for more than one sense to be assigned to a given word occur- rance. (Update)
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Combining Disambiguation Techniques to Enrich an Ontology - Stevenson (2002) (Correct)
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0.0: Information Retrieval Based on Word Senses - Schütze, Pedersen (1995) (Correct)
0.0: An Algorithm For Finding Noun Phrase Correspondences In Bilingual .. - Kupiec (1993) (Correct)
0.0: On Grammatical Translationese - Santos (1995) (Correct)
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0.5: A Comparison of Classifiers and Document Representations.. - Schütze, Hull, Pedersen (1995) (Correct)
0.4: Automatic Word Sense Discrimination - Schütze (1998) (Correct)
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BibTeX entry: (Update)
H. Schutze and J. Pedersen, `Information retrieval based on word senses', in Symposium on Document Analysis and Information Retrieval (SDAIR), pp. 161-175, Las Vegas, NV, (1995). http://citeseer.ist.psu.edu/sch95information.html More
@misc{ sch95information,
author = "H. Sch and u Pedersen",
title = "Information retrieval based on word senses",
text = "H. Schutze and J. Pedersen, `Information retrieval based on word senses',
in Symposium on Document Analysis and Information Retrieval (SDAIR), pp.
161-175, Las Vegas, NV, (1995).",
year = "1995",
url = "citeseer.ist.psu.edu/sch95information.html" }
Citations (may not include all citations):153 AutoClass: A Bayesian classification system (context) - Cheeseman, Kelly et al. - 1988
65 Word-sense disambiguation using statistical methods - Brown, Pietra et al. - 1991
13 Concordances for parallel text (context) - Church, Gale
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