Issue Framing in Online Discussion Fora
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- OA-Issue Framing in Online Discussion Fora
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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, assuming only unlabeled training data in the target domain.
Original language | English |
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Title of host publication | Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) |
Publisher | Association for Computational Linguistics |
Publication date | 2019 |
Pages | 1401-1407 |
DOIs | |
Publication status | Published - 2019 |
Event | 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - NAACL-HLT 2019 - Minneapolis, United States Duration: 3 Jun 2019 → 7 Jun 2019 |
Conference
Conference | 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - NAACL-HLT 2019 |
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Land | United States |
By | Minneapolis |
Periode | 03/06/2019 → 07/06/2019 |
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