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Semantically Enhanced Term Frequency

Müller, Christof ; Gurevych, Iryna
eds.: Gurrin, C. ; He, Y. ; Kazai, G. ; Kruschwitz, U. ; Little, S. ; Roelleke, Th. ; Rüger, S. ; Rijsbergen, K. van (2010)
Semantically Enhanced Term Frequency.
In: Proceedings of the 32nd European Conference on Information Retrieval Research
doi: 10.1007/978-3-642-12275-0_56
Book Section, Bibliographie

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. ; He, Y. ; Kazai, G. ; Kruschwitz, U. ; Little, S. ; Roelleke, Th. ; Rüger, S. ; Rijsbergen, K. van
Creators: Müller, Christof ; Gurevych, Iryna
Type of entry: Bibliographie
Title: Semantically Enhanced Term Frequency
Language: English
Date: 2010
Publisher: Springer
Book Title: Proceedings of the 32nd European Conference on Information Retrieval Research
Series: Lecture Notes in Computer Science
Series Volume: 5993
Event Location: Milton Keynes, UK
DOI: 10.1007/978-3-642-12275-0_56
URL / URN: https://link.springer.com/chapter/10.1007%2F978-3-642-12275-...
Corresponding Links:
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.

Uncontrolled Keywords: Semantic Information Management;UKP_a_SIM
Identification Number: TUD-CS-2009-0240
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Date Deposited: 31 Dec 2016 14:29
Last Modified: 28 Feb 2022 14:10
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