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Structure and Semantics for Expressive Text Kernels


Stephan Bloehdorn, Alessandro Moschitti



Published: 2007 November
Herausgeber: Mario J. Silva and Alberto H. F. Laender and Ricardo A. Baeza-Yates and Deborah L. McGuinness and Bjoern Olstad and Oystein Haug Olsen and Andre O. Falcao
Buchtitel: Proceedings of the 16th ACM Conference on Information and Knowledge Management (CIKM 2007), November 6-9, 2007, Lisbon, Portugal
Seiten: 861--864
Verlag: ACM
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BibTeX

Kurzfassung
Several Text Categorization applications require a representation beyond the standard bag-of-words paradigm. Kernel-based learning has approached this problem by (i) considering information about syntactic structure or by (ii) incorporating knowledge about the semantic similarity of term features. We propose a generalized framework consisting of a family of kernels that jointly incorporate syntactic and semantic similarity and demonstrate the power of this approach in a series of experiments.

ISBN: 978-1-59593-803-9

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Forschungsgruppe

Wissensmanagement


Forschungsgebiet
Natürliche Sprachverarbeitung, Text Mining, Maschinelles Lernen


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