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EMNLP
2007
13 years 10 months ago
Word Sense Disambiguation Incorporating Lexical and Structural Semantic Information
We present results that show that incorporating lexical and structural semantic information is effective for word sense disambiguation. We evaluated the method by using precise in...
Takaaki Tanaka, Francis Bond, Timothy Baldwin, San...
ACL
1992
13 years 10 months ago
GPSM: A Generalized Probabilistic Semantic Model for Ambiguity Resolution
In natural language processing, ambiguity resolution is a central issue, and can be regarded as a preference assignment problem. In this paper, a Generalized Probabilistic Semanti...
Jing-Shin Chang, Yih-Fen Luo, Keh-Yih Su
CICLING
2008
Springer
13 years 11 months ago
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
Shou-de Lin, Karin Verspoor
LREC
2010
164views Education» more  LREC 2010»
13 years 10 months ago
Semantic Feature Engineering for Enhancing Disambiguation Performance in Deep Linguistic Processing
The task of parse disambiguation has gained in importance over the last decade as the complexity of grammars used in deep linguistic processing has been increasing. In this paper ...
Danielle Ben-Gera, Yi Zhang 0003, Valia Kordoni
CIVR
2009
Springer
147views Image Analysis» more  CIVR 2009»
14 years 3 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