Analyzing Relational Semantics of Clauses in Chinese Discourse Based on Feature Structure

摘要：

　　The discourse clause relational semantics is the semantic relation between discourse clause relevance structures.This paper proposes a method to represent the discourse clause relational semantics as a multi-dimensional feature structure.Compared with the simple classification mechanism of discourse rela-tions,it can reveal the discourse semantic relations more deeply.Furthermore,we built Chinese discourse clause relational semantic feature corpus,and study the clause relational semantic feature recognition.We Transfer the clause rela-tional semantic feature recognition into multiple binary classification problems,and extract relevant classification features for experiment.Experiments show that under the best classifier(SVM),the overall semantic feature recognition effect of Fl value reaches 70.14%;each classification feature contributes differently to the recognition of different clause relational semantic features,and the con-nectives contributes more to the recognition of all semantic features.By adding related semantic features as classification features,the interaction between differ-ent semantic features is studied.Experiments show that the influence of different semantic features is different.The addition of multiple semantic features has a more significant effect than a single semantic feature.

关键词： Correlate structure of clause Discourse semantics Relational semantic feature Multi-label learning

作者: Wenhe Feng Xi Huang Han Ren

作者单位: Laboratory of Language Engineering and Computing,Guangdong University of Foreign Studies,Guangzhou 510420,China

会议类型: 国际会议

会议名称: 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC 2020)

会议地点: 郑州

会议语种:英文

页码: 1020-1031

在线出版日期: 2020-10-14（万方平台首次上网日期，不代表论文的发表时间）