语篇关系中的同义词和反义词分析：一种可解释的建模方法
The Analysis of Synonymy and Antonymy in Discourse Relations: An interpretable Modeling Approach
摘要：
语篇关系是通过显式内容和生产者和解释者之间的共享或隐式知识来解释的，这一观点在语篇研究和语言学中普遍存在。然而，实际的贡献的词汇语义的论点是不清楚的。我们提出了一种计算方法来分析对比和让步关系的PDTB语料库。我们的工作揭示了词汇语义在多大程度上有助于信号显式和隐式的话语关系，并澄清了在这两个不同的词性的贡献。本研究基于语料库语言学和计算语言学的论元的同义和反义关系，提出了一种透明的、可解释的话语关系模型。
英文摘要：
The idea that discourse relations are construed through explicit content and shared, or implicit, knowledge between producer and interpreter is ubiquitous in discourse research and linguistics. However, the actual contribution of the lexical semantics of arguments is unclear. We propose a computational approach to the analysis of contrast and concession relations in the PDTB corpus. Our work sheds light on the extent to which lexical semantics contributes to signaling explicit and implicit discourse relations and clarifies the contribution of different parts of speech in both. This study contributes to bridging the gap between corpus linguistics and computational linguistics by proposing transparent and explainable models of discourse relations based on the synonymy and antonymy of their arguments.
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