融合全局语义信息和结构特征的篇章功能语用识别方法

篇章分析是自然语言处理领域研究的热点和重点。相较于基于形式语法篇章分析的快速发展,篇章作为一个整体的语义单位,其功能和语义却没有引起足够的重视。该文提出一种融合全局语义信息和结构特征信息模型(FPRGS)来识别篇章的功能语用。该模型在获取篇章单元交互信息的同时融合篇章单元所在文章的全局信息,并使用门控语义网络将篇章单元的结构信息与语义信息结合,从而在语义和结构两方面获得了更加丰富的篇章单元信息。在汉语宏观篇章树库上的实验结果证明,该文提出的模型能够有效地识别篇章单元的功能语用。

Discourse Functional Pragmatics Recognition Based on Global Semantic Information and Structural Features

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.