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http://hdl.handle.net/10397/98188
| Title: | Abstract meaning representation for MWE : a study of the mapping of aspectuality based on Mandarin light verb jiayi | Authors: | Lu, L Xue, N Huang, CR |
Issue Date: | Oct-2020 | Source: | In 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, 2020 | Abstract: | Multiword 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. | Publisher: | Association for Computational Linguistics | Description: | 34th Pacific Asia Conference on Language, Information and Computation, Oct. 2020, Hanoi, Vietnam | Rights: | Copyright of contributed papers reserved by respective authors. Posted with permission of the author. The 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. |
| Appears in Collections: | Conference Paper |
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| Lu_Abstract_Meaning_Representation.pdf | 337.63 kB | Adobe PDF | View/Open |
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