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dc.contributor.authorXu, C
dc.contributor.authorParis, C
dc.contributor.authorNepal, S
dc.contributor.authorSparks, R
dc.date.accessioned2020-11-27T00:15:07Z
dc.date.available2020-11-27T00:15:07Z
dc.date.issued2020-01-01
dc.identifier.citationXu, C., Paris, C., Nepal, S. & Sparks, R. (2020). Recognising agreement and disagreement between stances with reason comparing networks. ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, pp.4665-4671. The Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-1460.
dc.identifier.isbn9781950737482
dc.identifier.urihttp://hdl.handle.net/11343/252397
dc.description.abstractWe identify agreement and disagreement between utterances that express stances towards a topic of discussion. Existing methods focus mainly on conversational settings, where dialogic features are used for (dis)agreement inference. We extend this scope and seek to detect stance (dis)agreement in a broader setting, where independent stance-bearing utterances, which prevail in many stance corpora and real-world scenarios, are compared. To cope with such non-dialogic utterances, we find that the reasons uttered to back up a specific stance can help predict stance (dis)agreements. We propose a reason comparing network (RCN) to leverage reason information for stance comparison. Empirical results on a well-known stance corpus show that our method can discover useful reason information, enabling it to outperform several baselines in stance (dis)agreement detection.
dc.publisherThe Association for Computational Linguistics
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.sourceThe 57th Annual Meeting of the Association for Computational Linguistics
dc.titleRecognising agreement and disagreement between stances with reason comparing networks
dc.typeConference Paper
dc.identifier.doi10.18653/v1/P19-1460
melbourne.affiliation.departmentComputing and Information Systems
melbourne.source.titleACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
melbourne.source.pages4665-4671
dc.rights.licensecc-by
melbourne.elementsid1447638
pubs.publisher-urlhttps://www.aclweb.org/anthology/P19-1460
melbourne.contributor.authorXu, Chang
melbourne.event.locationFlorence, Italy
melbourne.accessrightsOpen Access


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