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» A Maximum Entropy-based Word Sense Disambiguation System
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COLING
2008
13 years 7 months ago
Word Sense Disambiguation for All Words using Tree-Structured Conditional Random Fields
We propose a supervised word sense disambiguation (WSD) method using tree-structured conditional random fields (TCRFs). By applying TCRFs to a sentence described as a dependency t...
Jun Hatori, Yusuke Miyao, Jun-ichi Tsujii
ACL
2001
13 years 7 months ago
Statistical Corpus-Based Word Sense Disambiguation: Pseudowords vs. Real Ambiguous Words
In this paper we investigate whether the task of disambiguating pseudowords (artificial ambiguous words) is comparable to the disambiguation of real ambiguous words. Since the two...
Tanja Gaustad
ACL
2007
13 years 7 months ago
Domain Adaptation with Active Learning for Word Sense Disambiguation
When a word sense disambiguation (WSD) system is trained on one domain but applied to a different domain, a drop in accuracy is frequently observed. This highlights the importance...
Yee Seng Chan, Hwee Tou Ng
CICLING
2009
Springer
14 years 6 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
COLING
2010
13 years 22 days ago
What's in a Preposition? Dimensions of Sense Disambiguation for an Interesting Word Class
Choosing the right parameters for a word sense disambiguation task is critical to the success of the experiments. We explore this idea for prepositions, an often overlooked word c...
Dirk Hovy, Stephen Tratz, Eduard H. Hovy