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DOI:
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https://doi.org/10.1007/978-3-319-30671-1_49
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URL:
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https://ub-madoc.bib.uni-mannheim.de/41295
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Additional URL:
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http://web.informatik.uni-mannheim.de/dietz/relrel...
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URN:
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urn:nbn:de:bsz:180-madoc-412959
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Document Type:
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Conference or workshop publication
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Year of publication:
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2016
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Book title:
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Advances in Information Retrieval : 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings
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The title of a journal, publication series:
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Lecture Notes in Computer Science
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Volume:
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9626
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Page range:
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654-660
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Conference title:
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38th European Conference on IR Research, ECIR 2016
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Location of the conference venue:
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Padua, Italy
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Date of the conference:
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March 20-23, 2016
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Author/Publisher of the book
(only the first ones mentioned):
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Ferro, Nicola
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Place of publication:
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Cham
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Publishing house:
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Springer
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ISBN:
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978-3-319-30670-4 , 978-3-319-30671-1
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Publication language:
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English
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Institution:
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School of Business Informatics and Mathematics > Wirtschaftsinformatik III (Ponzetto 2016-)
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Subject:
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004 Computer science, internet
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Abstract:
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This work studies the combination of a document retrieval and a relation extraction system for the purpose of identifying query-relevant relational facts. On the TREC Web collection, we assess extracted facts separately for correctness and relevance. Despite some TREC topics not being covered by the relation schema, we find that this approach reveals relevant facts, and in particular those not yet known in the knowledge base DBpedia. The study confirms that mention frequency, document relevance, and entity relevance are useful indicators for fact relevance. Still, the task remains an open research problem.
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