Porting an open information extraction system from english to German

Tobias Falke; Gabriel Stanovsky; Iryna Gurevych; Ido Dagan

doi:10.18653/v1/d16-1086

Porting an open information extraction system from english to German

Tobias Falke
, Gabriel Stanovsky
, Iryna Gurevych
, Ido Dagan

Department of Computer Science and Artificial Intelligence

Technische Universität Darmstadt

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

Abstract

Many downstream NLP tasks can benefit from Open Information Extraction (Open IE) as a semantic representation. While Open IE systems are available for English, many other languages lack such tools. In this paper, we present a straightforward approach for adapting PropS, a rule-based predicate-argument analysis for English, to a new language, German. With this approach, we quickly obtain an Open IE system for German covering 89% of the English rule set. It yields 1.6 n-ary extractions per sentence at 60% precision, making it comparable to systems for English and readily usable in downstream applications.

Original language	English
Title of host publication	EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings
Publisher	Association for Computational Linguistics (ACL)
Pages	892-898
Number of pages	7
ISBN (Electronic)	9781945626258
DOIs	https://doi.org/10.18653/v1/d16-1086
State	Published - 2016
Event	2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016 - Austin, United States Duration: 1 Nov 2016 → 5 Nov 2016

Publication series

Name	EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings

Conference

Conference	2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016
Country/Territory	United States
City	Austin
Period	1/11/16 → 5/11/16

Bibliographical note

Publisher Copyright:
© 2016 Association for Computational Linguistics

Funding

This work has been supported by the DFG-funded research training group “Adaptive Preparation of Information from Heterogeneous Sources” (AIPHES, GRK 1994/1), by the German Research Foundation through the German-Israeli Project Cooperation (DIP, grant DA 1600/1-1 and grant GU 798/17-1) and by the Volkswagen Foundation as part of the Lichtenberg-Professorship Program under grant No. I/82806. This work has been supported by the DFG-funded research training group ?Adaptive Preparation of Information from Heterogeneous Sources? (AIPHES, GRK 1994/1), by the German Research Foundation through the German-Israeli Project Cooperation (DIP, grant DA 1600/1-1 and grant GU 798/17-1) and by the Volkswagen Foundation as part of the Lichtenberg-Professorship Program under grant No. I/82806.

Funders	Funder number
DFG-funded	GRK 1994/1
DIP
German-Israeli Project Cooperation
Deutsche Forschungsgemeinschaft	GU 798/17-1, DA 1600/1-1
Volkswagen Foundation	I/82806

Access to Document

10.18653/v1/d16-1086

Cite this

Falke, T., Stanovsky, G., Gurevych, I., & Dagan, I. (2016). Porting an open information extraction system from english to German. In EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings (pp. 892-898). (EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/d16-1086

Falke, Tobias ; Stanovsky, Gabriel ; Gurevych, Iryna et al. / Porting an open information extraction system from english to German. EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), 2016. pp. 892-898 (EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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abstract = "Many downstream NLP tasks can benefit from Open Information Extraction (Open IE) as a semantic representation. While Open IE systems are available for English, many other languages lack such tools. In this paper, we present a straightforward approach for adapting PropS, a rule-based predicate-argument analysis for English, to a new language, German. With this approach, we quickly obtain an Open IE system for German covering 89\% of the English rule set. It yields 1.6 n-ary extractions per sentence at 60\% precision, making it comparable to systems for English and readily usable in downstream applications.",

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Falke, T, Stanovsky, G, Gurevych, I & Dagan, I 2016, Porting an open information extraction system from english to German. in EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings. EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings, Association for Computational Linguistics (ACL), pp. 892-898, 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, United States, 1/11/16. https://doi.org/10.18653/v1/d16-1086

Porting an open information extraction system from english to German. / Falke, Tobias; Stanovsky, Gabriel; Gurevych, Iryna et al.
EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), 2016. p. 892-898 (EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Falke T, Stanovsky G, Gurevych I, Dagan I. Porting an open information extraction system from english to German. In EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL). 2016. p. 892-898. (EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings). doi: 10.18653/v1/d16-1086

Porting an open information extraction system from english to German

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