Abstract：Discourse analysis is a hot topic in the field of Natural Language Processing. Discourse nuclearity recognition, a subtask of discourse analysis, focuses on recognizing the main and secondary content of a discourse, to better understand and grasp its core content. This paper focuses on the task of macro Chinese discourse nulcearity recognition and proposes a recognition method based on discourse topic. This method introduces the semantic interaction between different discourse units and that between the discourse unit and its topic to identify the nuclearity. Moreover, it applies the selection mechanism of the discourse topic to further improve the performance of nuclearity recognition.Experimental results on MCDTB show that the proposed method outperforms the state-of-the-art baselines.
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2020, Vol. 34 
