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  Multilingual Text Classification using Ontologies

de Melo, G., & Siersdorfer, S. (2007). Multilingual Text Classification using Ontologies. In G. Amati, C. Carpineto, & G. Romano (Eds.), Advances in Information Retrieval: 29th European Conference on IR Research, ECIR 2007 (pp. 541-548). Berlin, Germany: Springer.

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 Creators:
de Melo, Gerard1, Author           
Siersdorfer, Stefan1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              

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 Abstract: In this paper, we investigate strategies for automatically classifying documents in different languages thematically, geographically or according to other criteria. A novel linguistically motivated text representation scheme is presented that can be used with machine learning algorithms in order to learn classifications from pre-classified examples and then automatically classify documents that might be provided in entirely different languages. Our approach makes use of ontologies and lexical resources but goes beyond a simple mapping from terms to concepts by fully exploiting the external knowledge manifested in such resources and mapping to entire regions of concepts. For this, a graph traversal algorithm is used to explore related concepts that might be relevant. Extensive testing has shown that our methods lead to significant improvements compared to existing approaches.

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Language(s): eng - English
 Dates: 2008-03-192007
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 356478
DOI: 10.1007/978-3-540-71496-5_49
Other: Local-ID: C12573CC004A8E26-79C129F991777549C125728F00316DA9-deMeloS07
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Title: Untitled Event
Place of Event: Rome, Italy
Start-/End Date: 2007-04-02 - 2007-04-05

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Source 1

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Title: Advances in Information Retrieval : 29th European Conference on IR Research, ECIR 2007
Source Genre: Proceedings
 Creator(s):
Amati, Gianni, Editor
Carpineto, Claudio, Editor
Romano, Giovanni, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 541 - 548 Identifier: ISBN: 978-3-540-71494-1

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Title: Lecture Notes in Computer Science
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Pages: - Volume / Issue: 4425 Sequence Number: - Start / End Page: - Identifier: -