150 search results - page 11 / 30 » Four Methods for Supervised Word Sense Disambiguation |
NAACL
2007
15 years 3 months ago
2007
In word sense disambiguation, choosing the most frequent sense for an ambiguous word is a powerful heuristic. However, its usefulness is restricted by the availability of sense-an...
112
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NAACL
2007
15 years 3 months ago
2007
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
118
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COLING
2008
15 years 3 months ago
2008
Supervised approaches to Word Sense Disambiguation (WSD) have been shown to outperform other approaches but are hampered by reliance on labeled training examples (the data acquisi...
100
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TAL
2004
Springer
15 years 7 months ago
2004
Springer
This paper presents an algorithm to apply the smoothing techniques described in [1] to three different Machine Learning (ML) methods for Word Sense Disambiguation (WSD). The method...
114
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LREC
2010
15 years 3 months ago
2010
This paper presents a novel automatic approach to partially integrate FrameNet and WordNet. In that way we expect to extend FrameNet coverage, to enrich WordNet with frame semanti...