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» A Topic Model for Word Sense Disambiguation
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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
COLING
2008
13 years 6 months ago
Measuring Topic Homogeneity and its Application to Dictionary-Based Word Sense Disambiguation
The use of topical features is abundant in Natural Language Processing (NLP), a major example being in dictionary-based Word Sense Disambiguation (WSD). Yet previous research does...
Ann Gledson, John Keane
EMNLP
2007
13 years 6 months ago
Improving Word Sense Disambiguation Using Topic Features
This paper presents a novel approach for exploiting the global context for the task of word sense disambiguation (WSD). This is done by using topic features constructed using the ...
Junfu Cai, Wee Sun Lee, Yee Whye Teh
NLDB
2007
Springer
13 years 10 months ago
Four Methods for Supervised Word Sense Disambiguation
Word sense disambiguation is the task to identify the intended meaning of an ambiguous word in a certain context, one of the central problems in natural language processing. This p...
Kinga Schumacher
ANLP
1997
80views more  ANLP 1997»
13 years 5 months ago
Sequential Model Selection for Word Sense Disambiguation
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set...
Ted Pedersen, Rebecca F. Bruce, Janyce Wiebe