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.

翻译：作者和翻译之间通过明确的内容和共享或隐含的知识来解释对话关系的想法,在对话研究和语言学中无处不在,然而,论据的词汇语义的实际贡献还不清楚。我们建议对PDTB文中对比和特许关系的分析采取计算方法。我们的工作揭示了词汇语义在多大程度上有助于表明明示和隐含的对话关系,并澄清了两种语言中不同部分的言论的贡献。本研究通过提出基于其论点的同义和反义的透明和可解释的谈话关系模式,有助于弥合语言和计算语言学之间的差距。