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-... |
| Zugehörige Links: | |
| 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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