A new resource for German causal language

Rehbein, Ines ; Ruppenhofer, Josef

URL: https://www.aclweb.org/anthology/2020.lrec-1.731
Additional URL: http://www.lrec-conf.org/proceedings/lrec2020/pdf/...
Document Type: Conference or workshop publication
Year of publication: 2020
Book title: LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings
Page range: 5968-5977
Conference title: LREC 2020
Location of the conference venue: Marseille, France
Date of the conference: 11.-16.05.2020
Publisher: Calzolari, Nicoletta
Place of publication: Paris ; Mannheim
Publishing house: ELRA ; IDS, Bibliothek
ISBN: 979-10-95546-34-4 , 979-10-95546-61-0
Publication language: English
Institution: Außerfakultäre Einrichtungen > SFB 884
Subject: 004 Computer science, internet
Abstract: We present a new resource for German causal language, with annotations in context for verbs, nouns and prepositions. Our dataset includes 4,390 annotated instances for more than 150 different triggers. The annotation scheme distinguishes three different types of causal events (CONSEQUENCE , MOTIVATION, PURPOSE). We also provide annotations for semantic roles, i.e. of the cause and effect for the causal event as well as the actor and affected party, if present. In the paper, we present inter-annotator agreement scores for our dataset and discuss problems for annotating causal language. Finally, we present experiments where we frame causal annotation as a sequence labelling problem and report baseline results for the prediciton of causal arguments and for predicting different types of causation.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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