103 search results - page 11 / 21 » A Maximum Entropy-based Word Sense Disambiguation System |
ACL
2004
13 years 10 months ago
2004
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
BMCBI
2006
13 years 8 months ago
2006
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
EACL
2006
ACL Anthology
13 years 10 months ago
2006
ACL Anthology
The degree of dominance of a sense of a word is the proportion of occurrences of that sense in text. We propose four new methods to accurately determine word sense dominance using...
ACL
2008
13 years 10 months ago
2008
This paper introduces an unsupervised vector approach to disambiguate words in biomedical text that can be applied to all-word disambiguation. We explore using contextual informat...
EMNLP
2004
13 years 10 months ago
2004
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...