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» Text Categorization for Improved Priors of Word Meaning
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ECIR
2004
Springer
13 years 9 months ago
Complex Linguistic Features for Text Classification: A Comprehensive Study
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
Alessandro Moschitti, Roberto Basili
CIKM
2008
Springer
13 years 9 months ago
Traditional resources help interpret texts
Simple word matching between the user query and document is common, as are mis-matches of meaning that occur as a consequence, and errors in recall. These defects in the "bag...
Judith Gelernter, Michael E. Lesk
COLING
1990
13 years 8 months ago
Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
Jean Véronis, Nancy Ide
DMIN
2008
134views Data Mining» more  DMIN 2008»
13 years 9 months ago
Political Leaning Categorization by Exploring Subjectivities in Political Blogs
This paper addresses a relatively new text categorization problem: classifying a political blog as either `liberal' or `conservative', based on its political leaning. Ins...
Maojin Jiang, Shlomo Argamon
SWAP
2008
13 years 9 months ago
Improving Retrieval Experience Exploiting Semantic Representation of Documents
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: for a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...