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» Using WordNet for Text Categorization
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ICPR
2008
IEEE
15 years 3 months ago
Unsupervised categorization of heterogeneous text images based on fractals
This paper deals about text extraction from heterogeneous documents for categorizing documents and indexing tasks. The purpose of this work is to find similar text regions basing ...
Badreddine Khelifi, Nizar Zaghden, Adel M. Alimi, ...
CIARP
2004
Springer
15 years 2 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh
ACL
1998
14 years 10 months ago
Automatic Retrieval and Clustering of Similar Words
Bootstrapping semantics from text is one of the greatest challenges in natural language learning. We first define a word similarity measure based on the distributional pattern of ...
Dekang Lin
75
Voted
ISCI
2006
136views more  ISCI 2006»
14 years 9 months ago
Computing with words for text processing: An approach to the text categorization
The use of the computing with words paradigm for the automatic text documents categorization problem is discussed. This specific problem of information retrieval (IR) becomes more...
Slawomir Zadrozny, Janusz Kacprzyk
IJCNN
2007
IEEE
15 years 3 months ago
Text Representations for Text Categorization: A Case Study in Biomedical Domain
— In vector space model (VSM), textual documents are represented as vectors in the term space. Therefore, there are two issues in this representation, i.e. (1) what should a term...
Man Lan, Chew Lim Tan, Jian Su, Hwee-Boon Low