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» Sequential Model Selection for Word Sense Disambiguation
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COLING
2002
13 years 7 months ago
Word Sense Disambiguation using Static and Dynamic Sense Vectors
It is popular in WSD to use contextual information in training sense tagged data. Co-occurring words within a limited window-sized context support one sense among the semantically...
Jong-Hoon Oh, Key-Sun Choi
COLING
1998
13 years 7 months ago
Selective Sampling for Example-based Word Sense Disambiguation
Atsushi Fujii, Kentaro Inui, Takenobu Tokunaga, Ho...
CICLING
2009
Springer
14 years 8 months ago
Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation
We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-s...
Kazunari Sugiyama, Manabu Okumura
ACL
1998
13 years 8 months ago
A Concept-based Adaptive Approach to Word Sense Disambiguation
Word sense disambiguation for unrestricted text is one of the most difficult tasks in the fields of computational linguistics. The crux of the problem is to discover a model that ...
Jen Nan Chen, Jason S. Chang