Publikation: Automatic detection of causal relations in German multilogs
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This paper introduces a linguisticallymotivated, rule-based annotation system for causal discourse relations in transcripts of spoken multilogs in German. The overall aim is an automatic means of determining the degree of justification provided by a speaker in the delivery of an argument
in a multiparty discussion. The system comprises of two parts: A disambiguation module which differentiates causal connectors from their other senses, and a discourse relation annotation system which marks the spans of text that constitute the reason and the result/conclusion expressed
by the causal relation. The system is evaluated against a gold standard of German transcribed spoken dialogue. The results show that our system performs reliably well with respect to both tasks.
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BÖGEL, Tina, Annette HAUTLI-JANISZ, Sebastian SULGER, Miriam BUTT, 2014. Automatic detection of causal relations in German multilogs. 14th Conference of the European Chapter of the Association for Computational Linguistics. Gothenburg, 26. Apr. 2014. In: EACL 2014 : 14th Conference of the European Chapter of the Association for Computational Linguistics ; Proceedings of the Workshop on Computational Approaches to Causality in Language. Stroudsburg: Association for Computational Linguistics, 2014, pp. 20-27. ISBN 978-1-937284-86-2BibTex
@inproceedings{Bogel2014Autom-29255, year={2014}, title={Automatic detection of causal relations in German multilogs}, url={http://aclweb.org/anthology/W14-0703}, isbn={978-1-937284-86-2}, publisher={Association for Computational Linguistics}, address={Stroudsburg}, booktitle={EACL 2014 : 14th Conference of the European Chapter of the Association for Computational Linguistics ; Proceedings of the Workshop on Computational Approaches to Causality in Language}, pages={20--27}, author={Bögel, Tina and Hautli-Janisz, Annette and Sulger, Sebastian and Butt, Miriam} }
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