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A new resource for German causal language
Rehbein, Ines
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Ruppenhofer, Josef
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URL:
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https://www.aclweb.org/anthology/2020.lrec-1.731
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Additional URL:
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http://www.lrec-conf.org/proceedings/lrec2020/pdf/...
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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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LREC 2020 Marseille : Twelfth International Conference on Language Resources and Evaluation$dMay 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings
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Page range:
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5968-5977
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Conference title:
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LREC 2020
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Location of the conference venue:
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Marseille, France
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Date of the conference:
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11.-16.05.2020
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Publisher:
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Calzolari, Nicoletta
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Place of publication:
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Paris ; Mannheim
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Publishing house:
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ELRA ; IDS, Bibliothek
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ISBN:
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979-10-95546-34-4 , 979-10-95546-61-0
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Publication language:
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English
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Institution:
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Außerfakultäre Einrichtungen > SFB 884
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Subject:
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004 Computer science, internet
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Abstract:
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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.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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