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AAAI
2004
13 years 10 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
WIA
2001
Springer
14 years 1 months ago
Finite-State Transducer Cascade to Extract Proper Names in Texts
This article describes a finite-state cascade for the extraction of person names in texts in French. We extract these proper names in order to categorize and to cluster texts with...
Nathalie Friburger, Denis Maurel
JAIR
2010
162views more  JAIR 2010»
13 years 7 months ago
Text Relatedness Based on a Word Thesaurus
The computation of relatedness between two fragments of text in an automated manner requires taking into account a wide range of factors pertaining to the meaning the two fragment...
George Tsatsaronis, Iraklis Varlamis, Michalis Vaz...
JMLR
2012
11 years 11 months ago
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
DIS
2006
Springer
14 years 14 days ago
Model-Based Estimation of Word Saliency in Text
Abstract. We investigate a generative latent variable model for modelbased word saliency estimation for text modelling and classification. The estimation algorithm derived is able ...
Xin Wang, Ata Kabán