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» Improving Word Sense Disambiguation Using Topic Features
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CORR
2000
Springer
78views Education» more  CORR 2000»
13 years 4 months ago
One Sense per Collocation and Genre/Topic Variations
This paper revisits the one sense per collocation hypothesis using fine-grained sense distinctions and two different corpora. We show that the hypothesis is weaker for fine-graine...
David Martínez, Eneko Agirre
ACL
2008
13 years 6 months ago
Improving Parsing and PP Attachment Performance with Sense Information
To date, parsers have made limited use of semantic information, but there is evidence to suggest that semantic features can enhance parse disambiguation. This paper shows that sem...
Eneko Agirre, Timothy Baldwin, David Martín...
FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
13 years 11 months ago
Word Sense Disambiguation Based on Bayes Model and Information Gain
Word sense disambiguation has always been a key problem in Natural Language Processing. In the paper, we use the method of Information Gain to calculate the weight of different po...
Zhengtao Yu, Bin Deng, Bo Hou, Lu Han, Jianyi Guo
COLING
2000
13 years 6 months ago
Word Sense Disambiguation of Adjectives Using Probabilistic Networks
In this paper, word sense dismnbiguation (WSD) accuracy achievable by a probabilistic classifier, using very milfimal training sets, is investigated. \Ve made the assuml)tiou that...
Gerald Chao, Michael G. Dyer
CIVR
2009
Springer
147views Image Analysis» more  CIVR 2009»
13 years 11 months ago
Integrating visual and semantic contexts for topic network generation and word sense disambiguation
To support more effective searches in large-scale weaklytagged image collections, we have developed a novel algorithm to integrate both the visual similarity contexts between the...
Jianping Fan, Hangzai Luo, Yi Shen, Chunlei Yang