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Discourse Functional Pragmatics Recognition Based on Global Semantic Information and Structural Features |
DU Mengqi, JIANG Feng, CHU Xiaomin, LI Peifeng, KONG Fang |
School of Computer Science and Technology, Soochow University, Suzhou, Jiangsu 215006, China |
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Abstract Discourse analysis is a well-recognized topic in natural language processing. Rapid as the development of discourse analysis based on formal grammar, the function and semantics of discourse as a whole have not been well addressed. This paper proposes a Functional Pragmatics Recognition Model Based on Global and Structure Information (FPRGS). The FPRGS first obtains the interactive information of discourse units and integrates the global information of the article. Then it uses the gated semantic network to combine the structural information of discourse units with semantic information. The experimental results in the Chinese macro discourse tree-bank show that the proposed model can effectively identify the discourse units' functional pragmatics.
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Received: 19 November 2021
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