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- Publisher Website: 10.18653/v1/P16-2086
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Conference Paper: Modeling the interpretation of discourse connectives by Bayesian pragmatics
Title | Modeling the interpretation of discourse connectives by Bayesian pragmatics |
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Authors | |
Issue Date | 2016 |
Publisher | Association for Computational Linguistics. |
Citation | 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), Berlin, Germany, 7-12 August 2016. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2016, p. 531-536 How to Cite? |
Abstract | © 2016 Association for Computational Linguistics. We propose a framework to model human comprehension of discourse connectives. Following the Bayesian pragmatic paradigm, we advocate that discourse connectives are interpreted based on a simulation of the production process by the speaker, who, in turn, considers the ease of interpretation for the listener when choosing connectives. Evaluation against the sense annotation of the Penn Discourse Treebank confirms the superiority of the model over literal comprehension. A further experiment demonstrates that the proposed model also improves automatic discourse parsing. |
Persistent Identifier | http://hdl.handle.net/10722/288743 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Yung, Frances | - |
dc.contributor.author | Duh, Kevin | - |
dc.contributor.author | Komura, Taku | - |
dc.contributor.author | Matsumoto, Yuji | - |
dc.date.accessioned | 2020-10-12T08:05:45Z | - |
dc.date.available | 2020-10-12T08:05:45Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), Berlin, Germany, 7-12 August 2016. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2016, p. 531-536 | - |
dc.identifier.uri | http://hdl.handle.net/10722/288743 | - |
dc.description.abstract | © 2016 Association for Computational Linguistics. We propose a framework to model human comprehension of discourse connectives. Following the Bayesian pragmatic paradigm, we advocate that discourse connectives are interpreted based on a simulation of the production process by the speaker, who, in turn, considers the ease of interpretation for the listener when choosing connectives. Evaluation against the sense annotation of the Penn Discourse Treebank confirms the superiority of the model over literal comprehension. A further experiment demonstrates that the proposed model also improves automatic discourse parsing. | - |
dc.language | eng | - |
dc.publisher | Association for Computational Linguistics. | - |
dc.relation.ispartof | Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Modeling the interpretation of discourse connectives by Bayesian pragmatics | - |
dc.type | Conference_Paper | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.18653/v1/P16-2086 | - |
dc.identifier.scopus | eid_2-s2.0-85016614287 | - |
dc.identifier.spage | 531 | - |
dc.identifier.epage | 536 | - |
dc.identifier.isi | WOS:000493805000086 | - |