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Porting an Open Information Extraction System from English to German

Falke, Tobias ; Stanovsky, Gabriel ; Gurevych, Iryna ; Dagan, Ido (2016)
Porting an Open Information Extraction System from English to German.
Austin, TX, USA
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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 extractions per sentence with 60% precision, making it readily usable in downstream applications.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2016
Autor(en): Falke, Tobias ; Stanovsky, Gabriel ; Gurevych, Iryna ; Dagan, Ido
Art des Eintrags: Bibliographie
Titel: Porting an Open Information Extraction System from English to German
Sprache: Englisch
Publikationsjahr: November 2016
Verlag: Association for Computational Linguistics
Buchtitel: Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Veranstaltungsort: Austin, TX, USA
URL / URN: http://aclweb.org/anthology/D16-1086
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Kurzbeschreibung (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 extractions per sentence with 60% precision, making it readily usable in downstream applications.

Freie Schlagworte: UKP_p_DIP;AIPHES_area_b1
ID-Nummer: TUD-CS-2016-0181
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 1994 Adaptive Informationsaufbereitung aus heterogenen Quellen
Hinterlegungsdatum: 31 Dez 2016 14:29
Letzte Änderung: 24 Jan 2020 12:03
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