Automatic Detection of Causal Relations in German Multilogs
Tina Bögel, Annette Hautli-Janisz, Sebastian Sulger, Miriam Butt · 2014
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.