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» Improving Word Sense Disambiguation in Lexical Chaining
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AAAI
1998
13 years 9 months ago
Knowledge Lean Word-Sense Disambiguation
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Ted Pedersen, Rebecca F. Bruce
ACL
2003
13 years 9 months ago
Word Sense Disambiguation Using Pairwise Alignment
In this paper, we proposed a new supervised word sense disambiguation (WSD) method based on a pairwise alignment technique, which is used generally to measure a similarity between...
Koichi Yamashita, Keiichi Yoshida, Yukihiro Itoh
ACL
2011
12 years 11 months ago
Local and Global Algorithms for Disambiguation to Wikipedia
Disambiguating concepts and entities in a context sensitive way is a fundamental problem in natural language processing. The comprehensiveness of Wikipedia has made the online enc...
Lev-Arie Ratinov, Dan Roth, Doug Downey, Mike Ande...
EMNLP
2004
13 years 9 months ago
Unsupervised WSD based on Automatically Retrieved Examples: The Importance of Bias
This paper explores the large-scale acquisition of sense-tagged examples for Word Sense Disambiguation (WSD). We have applied the "WordNet monosemous relatives" method t...
Eneko Agirre, David Martínez
NAACL
2010
13 years 5 months ago
Improving Semantic Role Labeling with Word Sense
Semantic role labeling (SRL) not only needs lexical and syntactic information, but also needs word sense information. However, because of the lack of corpus annotated with both wo...
Wanxiang Che, Ting Liu, Yongqiang Li