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» Latent Vector Weighting for Word Meaning in Context
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EMNLP
2011
12 years 4 months ago
Latent Vector Weighting for Word Meaning in Context
Tim Van de Cruys, Thierry Poibeau, Anna Korhonen
COLING
2010
12 years 11 months ago
Topic Models for Meaning Similarity in Context
Recent work on distributional methods for similarity focuses on using the context in which a target word occurs to derive context-sensitive similarity computations. In this paper ...
Georgiana Dinu, Mirella Lapata
CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 4 months ago
The semantic mapping of words and co-words in contexts
Meaning can be generated when information is related at a systemic level. Such a system can be an observer, but also a discourse, for example, operationalized as a set of document...
Loet Leydesdorff, Kasper Welbers
EMNLP
2008
13 years 6 months ago
A Structured Vector Space Model for Word Meaning in Context
We address the task of computing vector space representations for the meaning of word occurrences, which can vary widely according to context. This task is a crucial step towards ...
Katrin Erk, Sebastian Padó
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