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» A Structured Vector Space Model for Word Meaning in Context
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FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
14 years 7 days 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
MT
2006
95views more  MT 2006»
13 years 5 months ago
Finding translations for low-frequency words in comparable corpora
Abstract. The paper proposes a method to improve the extraction of lowfrequency translation equivalents from comparable corpora. Prior to performing the mapping between vector spac...
Viktor Pekar, Ruslan Mitkov, Dimitar Blagoev, Andr...
ISICA
2007
Springer
13 years 12 months ago
Instant Message Clustering Based on Extended Vector Space Model
Instant intercommunion techniques such as Instant Messaging (IM) are widely popularized. Aiming at such kind of large scale masscommunication media, clustering on its text conte...
Le Wang, Yan Jia, Weihong Han
IPMI
2007
Springer
14 years 6 months ago
Active Mean Fields: Solving the Mean Field Approximation in the Level Set Framework
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
Kilian M. Pohl, Ron Kikinis, William M. Wells III
IIR
2010
13 years 7 months ago
Semantic Vectors: an Information Retrieval Scenario
In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...