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» Improving Word Sense Disambiguation Using Topic Features
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COLING
2002
15 years 2 months ago
Simple Features for Chinese Word Sense Disambiguation
In this paper we report on our experiments on automatic Word Sense Disambiguation using a maximum entropy approach for both English and Chinese verbs. We compare the difficulty of...
Hoa Trang Dang, Ching-yi Chia, Martha Stone Palmer...
106
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ACL
2010
15 years 19 days ago
It Makes Sense: A Wide-Coverage Word Sense Disambiguation System for Free Text
Word sense disambiguation (WSD) systems based on supervised learning achieved the best performance in SensEval and SemEval workshops. However, there are few publicly available ope...
Zhi Zhong, Hwee Tou Ng
132
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NLP
2000
15 years 6 months ago
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
Georgios Paliouras, Vangelis Karkaletsis, Ion Andr...
103
Voted
ACL
2003
15 years 4 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
109
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COLING
2002
15 years 2 months ago
Unsupervised Word Sense Disambiguation Using Bilingual Comparable Corpora
An unsupervised method for word sense disambiguation using a bilingual comparable corpus was developed. First, it extracts statistically significant pairs of related words from th...
Hiroyuki Kaji, Yasutsugu Morimoto