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» Latent Vector Weighting for Word Meaning in Context
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TAL
2004
Springer
14 years 1 months ago
One Size Fits All? A Simple Technique to Perform Several NLP Tasks
Word fragments or n-grams have been widely used to perform different Natural Language Processing tasks such as information retrieval [1] [2], document categorization [3], automatic...
Daniel Gayo-Avello, Darío Álvarez Gu...
CLEF
2009
Springer
13 years 9 months ago
UNIBA-SENSE @ CLEF 2009: Robust WSD Task
This paper presents the participation of the semantic N-levels search engine SENSE at the CLEF 2009 Ad Hoc Robust-WSD Task. During the participation at the same task of CLEF 2008,...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
ICDE
2007
IEEE
211views Database» more  ICDE 2007»
14 years 2 months ago
Document Representation and Dimension Reduction for Text Clustering
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
M. Mahdi Shafiei, Singer Wang, Roger Zhang, Evange...
ENC
2005
IEEE
14 years 2 months ago
Basis Pursuit Based Algorithm for Intra-Voxel Recovering Information in DW-MRI.
In this work we apply the Basis Pursuit (BP) methodology for recovering the intra-voxel information in Diffusion Weighted MR Images (DW-MRI). We compare the BP approach with a Dif...
Alonso Ramirez-Manzanares, Mariano Rivera
CORR
2004
Springer
144views Education» more  CORR 2004»
13 years 8 months ago
The Google Similarity Distance
Words and phrases acquire meaning from the way they are used in society, from their relative semantics to other words and phrases. For computers the equivalent of `society' is...
Rudi Cilibrasi, Paul M. B. Vitányi