论文标题
Copa-SSE：常识性推理的半结构化解释
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning
论文作者
论文摘要
我们提出了COPA（COPA-SSE）的半结构化解释，这是一个新的众包数据集，其中包括9,747个半结构化的英语常识解释，用于选择合理的替代方案（COPA）问题。这些解释的格式是与概念关系关系但自由书写概念的一组三重常识性陈述。这种半结构的格式在结构化数据的高质量但低覆盖范围与自由形式众包的质量较低但高覆盖率之间达到了平衡。每个解释还包括一组人类质量评级。凭借其熟悉的格式，这些解释是针对在知识图上运行的常识性推理者的，并作为正在进行的改善此类系统的工作的起点。该数据集可从https://github.com/a-brassard/copa-sse获得。
We present Semi-Structured Explanations for COPA (COPA-SSE), a new crowdsourced dataset of 9,747 semi-structured, English common sense explanations for Choice of Plausible Alternatives (COPA) questions. The explanations are formatted as a set of triple-like common sense statements with ConceptNet relations but freely written concepts. This semi-structured format strikes a balance between the high quality but low coverage of structured data and the lower quality but high coverage of free-form crowdsourcing. Each explanation also includes a set of human-given quality ratings. With their familiar format, the explanations are geared towards commonsense reasoners operating on knowledge graphs and serve as a starting point for ongoing work on improving such systems. The dataset is available at https://github.com/a-brassard/copa-sse.
