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ACL
2006
14 years 11 months ago
Aligning Features with Sense Distinction Dimensions
In this paper we present word sense disambiguation (WSD) experiments on ten highly polysemous verbs in Chinese, where significant performance improvements are achieved using rich ...
Nianwen Xue, Jinying Chen, Martha Palmer
81
Voted
CORR
2002
Springer
63views Education» more  CORR 2002»
14 years 9 months ago
Robust Classification with Context-Sensitive Features
This paper addresses the problem of classifying observations when features are context-sensitive, especially when the testing set involves a context that is different from the tra...
Peter D. Turney
CORR
2011
Springer
151views Education» more  CORR 2011»
14 years 4 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
79
Voted
KDD
2005
ACM
127views Data Mining» more  KDD 2005»
15 years 10 months ago
Detection of emerging space-time clusters
We propose a new class of spatio-temporal cluster detection methods designed for the rapid detection of emerging space-time clusters. We focus on the motivating application of pro...
Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabh...
EMNLP
2007
14 years 11 months ago
Learning to Merge Word Senses
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
Rion Snow, Sushant Prakash, Daniel Jurafsky, Andre...