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FGCN
2008
IEEE
130views Communications» more  FGCN 2008»
14 years 2 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
EMNLP
2011
12 years 7 months ago
Quasi-Synchronous Phrase Dependency Grammars for Machine Translation
We present a quasi-synchronous dependency grammar (Smith and Eisner, 2006) for machine translation in which the leaves of the tree are phrases rather than words as in previous wor...
Kevin Gimpel, Noah A. Smith
IJCNLP
2005
Springer
14 years 1 months ago
A New Method for Sentiment Classification in Text Retrieval
Traditional text categorization is usually a topic-based task, but a subtle demand on information retrieval is to distinguish between positive and negative view on text topic. In t...
Yi Hu, Jianyong Duan, Xiaoming Chen, Bingzhen Pei,...
ACL
2006
13 years 9 months ago
Discriminative Reranking for Semantic Parsing
Semantic parsing is the task of mapping natural language sentences to complete formal meaning representations. The performance of semantic parsing can be potentially improved by u...
Ruifang Ge, Raymond J. Mooney
MODELS
2010
Springer
13 years 6 months ago
Modeling Features at Runtime
A feature represents a functional requirement fulfilled by a system. Since many maintenance tasks are expressed in terms of features, it is important to establish the corresponden...
Marcus Denker, Jorge Ressia, Orla Greevy, Oscar Ni...