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Conference Paper: Modeling the usage of discourse connectives as rational speech acts

TitleModeling the usage of discourse connectives as rational speech acts
Authors
Issue Date2016
PublisherAssociation for Computational Linguistics.
Citation
20th SIGNLL Conference on Computational Natural Language Learning (CoNLL 2016), Berlin, Germany, 7-12 August 2016. In Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning, 2016, p. 302-313 How to Cite?
Abstract© 2016 Association for Computational Linguistics. Discourse relations can either be implicit or explicitly expressed by markers, such as ’therefore’ and ’but’. How a speaker makes this choice is a question that is not well understood. We propose a psycholinguistic model that predicts whether a speaker will produce an explicit marker given the discourse relation s/he wishes to express. Based on the framework of the Rational Speech Acts model, we quantify the utility of producing a marker based on the information-theoretic measure of surprisal, the cost of production, and a bias to maintain uniform information density throughout the utterance. Experiments based on the Penn Discourse Treebank show that our approach outperforms state-of-the-art approaches, while giving an explanatory account of the speaker’s choice.
Persistent Identifierhttp://hdl.handle.net/10722/288959

 

DC FieldValueLanguage
dc.contributor.authorYung, Frances-
dc.contributor.authorDuh, Kevin-
dc.contributor.authorKomura, Taku-
dc.contributor.authorMatsumoto, Yuji-
dc.date.accessioned2020-10-12T08:06:19Z-
dc.date.available2020-10-12T08:06:19Z-
dc.date.issued2016-
dc.identifier.citation20th SIGNLL Conference on Computational Natural Language Learning (CoNLL 2016), Berlin, Germany, 7-12 August 2016. In Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning, 2016, p. 302-313-
dc.identifier.urihttp://hdl.handle.net/10722/288959-
dc.description.abstract© 2016 Association for Computational Linguistics. Discourse relations can either be implicit or explicitly expressed by markers, such as ’therefore’ and ’but’. How a speaker makes this choice is a question that is not well understood. We propose a psycholinguistic model that predicts whether a speaker will produce an explicit marker given the discourse relation s/he wishes to express. Based on the framework of the Rational Speech Acts model, we quantify the utility of producing a marker based on the information-theoretic measure of surprisal, the cost of production, and a bias to maintain uniform information density throughout the utterance. Experiments based on the Penn Discourse Treebank show that our approach outperforms state-of-the-art approaches, while giving an explanatory account of the speaker’s choice.-
dc.languageeng-
dc.publisherAssociation for Computational Linguistics.-
dc.relation.ispartofProceedings of The 20th SIGNLL Conference on Computational Natural Language Learning-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleModeling the usage of discourse connectives as rational speech acts-
dc.typeConference_Paper-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.18653/v1/K16-1030-
dc.identifier.scopuseid_2-s2.0-85072750976-
dc.identifier.spage302-
dc.identifier.epage313-

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