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Semantically Enhanced Term Frequency

Müller, Christof ; Gurevych, Iryna
Hrsg.: 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
Buchkapitel, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Buchkapitel
Erschienen: 2010
Herausgeber: Gurrin, C. ; He, Y. ; Kazai, G. ; Kruschwitz, U. ; Little, S. ; Roelleke, Th. ; Rüger, S. ; Rijsbergen, K. van
Autor(en): Müller, Christof ; Gurevych, Iryna
Art des Eintrags: Bibliographie
Titel: Semantically Enhanced Term Frequency
Sprache: Englisch
Publikationsjahr: 2010
Verlag: Springer
Buchtitel: Proceedings of the 32nd European Conference on Information Retrieval Research
Reihe: Lecture Notes in Computer Science
Band einer Reihe: 5993
Veranstaltungsort: 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-...
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Kurzbeschreibung (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.

Freie Schlagworte: Semantic Information Management;UKP_a_SIM
ID-Nummer: TUD-CS-2009-0240
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
Hinterlegungsdatum: 31 Dez 2016 14:29
Letzte Änderung: 28 Feb 2022 14:10
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