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  Transductive Learning for Text Classification using Explicit Knowledge Models

Ifrim, G., & Weikum, G. (2006). Transductive Learning for Text Classification using Explicit Knowledge Models. In Knowledge Discovery in Databases: PKDD 2006 (pp. 223-234). Berlin: Springer. doi:10.1007/11871637_24.

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 Creators:
Ifrim, Georgiana1, Author           
Weikum, Gerhard1, Author           
Fürnkranz, Johannes2, Editor
Scheffer, Tobias3, Editor           
Spiliopoulou, Myra2, Editor
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              
3Machine Learning, MPI for Informatics, Max Planck Society, ou_1116552              

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 Abstract: We present a generative model based approach for transductive learning for text classification. Our approach combines three methodological ingredients: learning from background corpora, latent variable models for decomposing the topic-word space into topic-concept and concept-word spaces, and explicit knowledge models (light-weight ontologies, thesauri, e.g. WordNet) with named concepts for populating latent variables. The combination has synergies that can boost the combined performance. This paper presents the theoretical model and extensive experimental results on three data collections. Our experiments show improved classification results over state-of-the-art classification techniques such as the Spectral Graph Transducer and Transductive Support Vector Machines, particularly for the case of sparse training.

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Language(s): eng - English
 Dates: 2007-04-2720062006
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 314421
Other: Local-ID: C1256DBF005F876D-C2FEAF7CB6186B78C12571C500502F72-IfrimWeikumPKDD2006
DOI: 10.1007/11871637_24
 Degree: -

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Title: 10th European Conference on Principles and Practice of Knowledge Discovery in Databases
Place of Event: Berlin, Germany
Start-/End Date: 2006-09-18 - 2006-09-22

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Title: Knowledge Discovery in Databases: PKDD 2006
  Abbreviation : PKDD 2006
  Subtitle : 10th European Conference on Principles and Practice of Knowledge Discovery in Databases Berlin, Germany, September 18-22, 2006 Proceedings
Source Genre: Proceedings
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Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 223 - 234 Identifier: ISBN: 978-3-540-45374-1

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Title: Lecture Notes in Artificial Intelligence
  Abbreviation : LNAI
Source Genre: Series
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Pages: - Volume / Issue: 4213 Sequence Number: - Start / End Page: - Identifier: -