Finding relevant relations in relevant documents


Schuhmacher, Michael ; Roth, Benjamin ; Ponzetto, Simone Paolo ; Dietz, Laura


[img]
Preview
PDF
schuhmacher16a.pdf - Published

Download (206kB)

DOI: https://doi.org/10.1007/978-3-319-30671-1_49
URL: https://ub-madoc.bib.uni-mannheim.de/41295
Additional URL: http://web.informatik.uni-mannheim.de/dietz/relrel...
URN: urn:nbn:de:bsz:180-madoc-412959
Document Type: Conference or workshop publication
Year of publication: 2016
Book title: Advances in Information Retrieval : 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 9626
Page range: 654-660
Conference title: 38th European Conference on IR Research, ECIR 2016
Location of the conference venue: Padua, Italy
Date of the conference: March 20-23, 2016
Author/Publisher of the book
(only the first ones mentioned)
:
Ferro, Nicola
Place of publication: Cham
Publishing house: Springer
ISBN: 978-3-319-30670-4 , 978-3-319-30671-1
Publication language: English
Institution: School of Business Informatics and Mathematics > Wirtschaftsinformatik III (Ponzetto 2016-)
Subject: 004 Computer science, internet
Abstract: 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.

Dieser Eintrag ist Teil der Universitätsbibliographie.

Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.




+ Citation Example and Export

Schuhmacher, Michael ; Roth, Benjamin ; Ponzetto, Simone Paolo ; Dietz, Laura Finding relevant relations in relevant documents. Open Access Ferro, Nicola Lecture Notes in Computer Science 9626 654-660 In: Advances in Information Retrieval : 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings (2016) Cham 38th European Conference on IR Research, ECIR 2016 (Padua, Italy) [Conference or workshop publication]
[img]
Preview


+ Search Authors in

+ Download Statistics

Downloads per month over past year

View more statistics



You have found an error? Please let us know about your desired correction here: E-Mail


Actions (login required)

Show item Show item