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 |
| Zugehörige Links: | |
| 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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