On aligning OpenIE extractions with Knowledge Bases: A case study
Gashteovski, Kiril
;
Gemulla, Rainer
;
Kotnis, Bhushan
;
Hertling, Sven
;
Meilicke, Christian
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On Aligning OpenIE Extractions with Knowledge Bases A Case Study.pdf
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DOI:
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https://doi.org/10.18653/v1/2020.eval4nlp-1.14
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URL:
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https://madoc.bib.uni-mannheim.de/61524
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Additional URL:
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https://aclanthology.org/2020.eval4nlp-1.14
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URN:
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urn:nbn:de:bsz:180-madoc-615240
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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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2020
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Book title:
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Evaluation and Comparison of NLP Systems : proceedings of the first workshop, november 20, 2020
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Page range:
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143-154
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Conference title:
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EMNLP 2020
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Location of the conference venue:
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Online
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Date of the conference:
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16.-20.11.2020
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Publisher:
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Eger, Steffen
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Gao, Yang
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Peyrard, Maxime
;
Zhao, Wei
;
Hovy, Eduard
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Place of publication:
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Stroudsburg, PA 18360, USA
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Publishing house:
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Association for Computational Linguistics (ACL)
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ISBN:
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978-1-952148-82-8
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Related URLs:
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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 > Practical Computer Science I: Data Analytics (Gemulla 2014-)
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Pre-existing license:
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Creative Commons Attribution 4.0 International (CC BY 4.0)
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Subject:
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004 Computer science, internet
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Abstract:
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Open information extraction (OIE) is the task of extracting relations and their corresponding arguments from a natural language text in un- supervised manner. Outputs of such systems are used for downstream tasks such as ques- tion answering and automatic knowledge base (KB) construction. Many of these downstream tasks rely on aligning OIE triples with refer- ence KBs. Such alignments are usually eval- uated w.r.t. a specific downstream task and, to date, no direct manual evaluation of such alignments has been performed. In this paper, we directly evaluate how OIE triples from the OPIEC corpus are related to the DBpedia KB w.r.t. information content. First, we investigate OPIEC triples and DBpedia facts having the same arguments by comparing the information on the OIE surface relation with the KB rela- tion. Second, we evaluate the expressibility of general OPIEC triples in DBpedia. We in- vestigate whether—and, if so, how—a given OIE triple can be mapped to a single KB fact. We found that such mappings are not always possible because the information in the OIE triples tends to be more specific. Our evalua- tion suggests, however, that significant part of OIE triples can be expressed by means of KB formulas instead of individual facts.
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Additional information:
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Online-Ressource
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 | Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt. |
Search Authors in
BASE:
Gashteovski, Kiril
;
Gemulla, Rainer
;
Kotnis, Bhushan
;
Hertling, Sven
;
Meilicke, Christian
Google Scholar:
Gashteovski, Kiril
;
Gemulla, Rainer
;
Kotnis, Bhushan
;
Hertling, Sven
;
Meilicke, Christian
ORCID:
Gashteovski, Kiril, Gemulla, Rainer ORCID: https://orcid.org/0000-0003-2762-0050, Kotnis, Bhushan, Hertling, Sven ORCID: https://orcid.org/0000-0003-0333-5888 and Meilicke, Christian ORCID: https://orcid.org/0000-0002-0198-5396
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