Hoffart, Johannes ; Bär, Daniel ; Zesch, Torsten ; Gurevych, Iryna
Hrsg.: Geva, Shlomo ; Kamps, Jaap ; Trotman, Andrew (2009)
Discovering Links Using Semantic Relatedness.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We present our approaches for link discovery in document collections with or without existing links. In collections containing links, we discover links using measures of link anchor ranking based on existing links. In collections without links, we gather noun phrases as anchor candidates. To discover targets, we use a measure of semantic relatedness between texts. We find that semantic relatedness is useful to identify targets for ambiguous link anchors. In collections that contain no existing links, using only document titles as anchor candidates can be enhanced by using arbitrary noun phrases extracted from documents.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2009 |
Herausgeber: | Geva, Shlomo ; Kamps, Jaap ; Trotman, Andrew |
Autor(en): | Hoffart, Johannes ; Bär, Daniel ; Zesch, Torsten ; Gurevych, Iryna |
Art des Eintrags: | Bibliographie |
Titel: | Discovering Links Using Semantic Relatedness |
Sprache: | Englisch |
Publikationsjahr: | Dezember 2009 |
Buchtitel: | INEX 2009 Workshop Preproceedings |
URL / URN: | http://www.inex.otago.ac.nz/data/proceedings/INEX2009-prepro... |
Kurzbeschreibung (Abstract): | We present our approaches for link discovery in document collections with or without existing links. In collections containing links, we discover links using measures of link anchor ranking based on existing links. In collections without links, we gather noun phrases as anchor candidates. To discover targets, we use a measure of semantic relatedness between texts. We find that semantic relatedness is useful to identify targets for ambiguous link anchors. In collections that contain no existing links, using only document titles as anchor candidates can be enhanced by using arbitrary noun phrases extracted from documents. |
Freie Schlagworte: | UKP_a_NLP4Wikis;UKP_p_WIKULU;UKP_s_DKPro_Similarity |
ID-Nummer: | TUD-CS-2010-0009 |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
Hinterlegungsdatum: | 31 Dez 2016 14:29 |
Letzte Änderung: | 24 Jan 2020 12:03 |
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