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Semantically Enhanced Term Frequency

Müller, Christof and Gurevych, Iryna
Gurrin, C. and He, Y. and Kazai, G. and Kruschwitz, U. and Little, S. and Roelleke, Th. and Rüger, S. and van Rijsbergen, K. (eds.) (2010):
Semantically Enhanced Term Frequency.
In: Proceedings of the 32nd European Conference on Information Retrieval Research, Springer, pp. 589-601, DOI: 10.1007/978-3-642-12275-0_56, [Online-Edition: https://link.springer.com/chapter/10.1007%2F978-3-642-12275-...],
[Book Section]

Abstract

In this paper, we complement the term frequency, which is used in many bag-of-words based information retrieval models, with information about the semantic relatedness of query and document terms. Our experiments show that when employed in the standard probabilistic retrieval model BM25, the additional semantic information significantly outperforms the standard term frequency, and also improves the effectiveness when additional query expansion is applied. We further analyze the impact of different lexical semantic resources on the IR effectiveness.

Item Type: Book Section
Erschienen: 2010
Editors: Gurrin, C. and He, Y. and Kazai, G. and Kruschwitz, U. and Little, S. and Roelleke, Th. and Rüger, S. and van Rijsbergen, K.
Creators: Müller, Christof and Gurevych, Iryna
Title: Semantically Enhanced Term Frequency
Language: English
Abstract:

In this paper, we complement the term frequency, which is used in many bag-of-words based information retrieval models, with information about the semantic relatedness of query and document terms. Our experiments show that when employed in the standard probabilistic retrieval model BM25, the additional semantic information significantly outperforms the standard term frequency, and also improves the effectiveness when additional query expansion is applied. We further analyze the impact of different lexical semantic resources on the IR effectiveness.

Title of Book: Proceedings of the 32nd European Conference on Information Retrieval Research
Series Name: Lecture Notes in Computer Science
Volume: 5993
Publisher: Springer
ISBN: 978-3-642-12274-3
Uncontrolled Keywords: Semantic Information Management;UKP_a_SIM
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Milton Keynes, UK
Date Deposited: 31 Dec 2016 14:29
DOI: 10.1007/978-3-642-12275-0_56
Official URL: https://link.springer.com/chapter/10.1007%2F978-3-642-12275-...
Identification Number: TUD-CS-2009-0240
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