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  Learning Word-to-Concept Mappings for Automatic Text Classification

Ifrim, G., Theobald, M., & Weikum, G. (2005). Learning Word-to-Concept Mappings for Automatic Text Classification. In Proceedings of the 22nd International Conference on Machine Learning - Learning in Web Search (LWS 2005) (pp. 18-26). Bonn, Germany: ICMLW4-LWS2005.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-26F0-F Version Permalink: https://hdl.handle.net/11858/00-001M-0000-000F-26F1-D
Genre: Conference Paper

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 Creators:
Ifrim, Georgiana1, Author           
Theobald, Martin1, Author           
Weikum, Gerhard1, Author           
De Raedt, Luc2, Editor
Wrobel, Stefan2, Editor
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2Max Planck Society, ou_persistent13              

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 Abstract: For both classification and retrieval of natural language text documents, the standard document representation is a term vector where a term is simply a morphological normal form of the corresponding word. A potentially better approach would be to map every word onto a concept, the proper word sense and use this additional information in the learning process. In this paper we address the problem of automatically classifying natural language text documents. We investigate the effect of word to concept mappings and word sense disambiguation techniques on improving classification accuracy. We use the WordNet thesaurus as a background knowledge base and propose a generative language model approach to document classification. We show experimental results comparing the performance of our model with Naive Bayes and SVM classifiers.

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Language(s): eng - English
 Dates: 2006-04-282005
 Publication Status: Issued
 Pages: -
 Publishing info: Bonn, Germany : ICMLW4-LWS2005
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 278919
Other: Local-ID: C1256DBF005F876D-BC3232B5ED843139C12570D800563057-IfrimTW-ICML2005
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Title: Untitled Event
Place of Event: Bonn, Germany
Start-/End Date: 2005-08-07

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Title: Proceedings of the 22nd International Conference on Machine Learning - Learning in Web Search (LWS 2005)
Source Genre: Proceedings
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Publ. Info: Bonn, Germany : ICMLW4-LWS2005
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 18 - 26 Identifier: ISBN: 1-59593-180-5