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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/41325
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dc.titleRecognizing implicit discourse relations in the Penn Discourse Treebank
dc.contributor.authorLin, Z.
dc.contributor.authorKan, M.-Y.
dc.contributor.authorNg, H.T.
dc.date.accessioned2013-07-04T08:24:52Z
dc.date.available2013-07-04T08:24:52Z
dc.date.issued2009
dc.identifier.citationLin, Z.,Kan, M.-Y.,Ng, H.T. (2009). Recognizing implicit discourse relations in the Penn Discourse Treebank. EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009 : 343-351. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41325
dc.description.abstractWe present an implicit discourse relation classifier in the Penn Discourse Treebank (PDTB). Our classifier considers the context of the two arguments, word pair information, as well as the arguments' internal constituent and dependency parses. Our results on the PDTB yields a significant 14.1% improvement over the baseline. In our error analysis, we discuss four challenges in recognizing implicit relations in the PDTB. © 2009 ACL and AFNLP.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.sourcetitleEMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009
dc.description.page343-351
dc.identifier.isiutNOT_IN_WOS
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