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In online discussion fora, speakers often make arguments for or against something, say birth control, by highlighting certain aspects of the topic. In social science, this is referred to as issue framing. In this paper, we introduce a new issue frame annotated corpus of online discussions. We explore to what extent models trained to detect issue frames in newswire and social media can be transferred to the domain of discussion fora, using a combination of multi-task and adversarial training,doi:10.18653/v1/n19-1142 dblp:conf/naacl/HartmannJAS19 fatcat:vvwhfzjqsngrlkpal6bk7fcgwi