Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98188
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dc.contributorDepartment of Chinese and Bilingual Studiesen_US
dc.creatorLu, Len_US
dc.creatorXue, Nen_US
dc.creatorHuang, CRen_US
dc.date.accessioned2023-04-17T07:29:44Z-
dc.date.available2023-04-17T07:29:44Z-
dc.identifier.urihttp://hdl.handle.net/10397/98188-
dc.description34th Pacific Asia Conference on Language, Information and Computation, Oct. 2020, Hanoi, Vietnamen_US
dc.language.isoenen_US
dc.publisherAssociation for Computational Linguisticsen_US
dc.rightsCopyright of contributed papers reserved by respective authors.en_US
dc.rightsPosted with permission of the author.en_US
dc.rightsThe following publication Lu Lu, Nianwen Xue, and Chu-Ren Huang. 2020. Abstract Meaning Representation for MWE: A study of the mapping of aspectuality based on Mandarin light verb jiayi. In Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, pages 568–574, Hanoi, Vietnam. Association for Computational Linguistics is available at https://aclanthology.org/2020.paclic-1.65.en_US
dc.titleAbstract meaning representation for MWE : a study of the mapping of aspectuality based on Mandarin light verb jiayien_US
dc.typeConference Paperen_US
dc.identifier.spage568en_US
dc.identifier.epage574en_US
dcterms.abstractMultiword expression (MWE) refers to various types of linguistic units that are made up of more than one word. Light verb constructions (LVCs), as one of the least explored areas in MWEs, have idiosyncratic features that are difficult to capture in computational linguistics. In this paper, we addressed the aspectual differences between LVCs and their corresponding regular verb constructions with corpus data. Specifically, the jiayiLVC in Mandarin Chinese was investigated as a case study, where idiosyncratic aspectual information in the LVC was proposed. This feature was not yet previously represented in abstract meaning representation (AMR), in which LVCs and its regular verb counterparts shared the same AMR. Given the semantic difference in jiayi-LVCs, we expand AMR by introducing aspect as the root node, while maintaining the core predicative component in meaning representation.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn ML Nguyen, MC Luong & S Song (Eds.), Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 24-26 October, 2020, University of Science, Vietnam National University Hanoi, Vietnam, p. 568–574. Association for Computational Linguistics, 2020en_US
dcterms.issued2020-10-
dc.relation.ispartofbookProceedings of the 34th Pacific Asia Conference on Language, Information and Computationen_US
dc.relation.conferencePacific Asia Conference on Language, Information and Computation [PACLIC]en_US
dc.description.validate202304 bcwwen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberCBS-0157-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS51847832-
dc.description.oaCategoryCopyright retained by authoren_US
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