COPA-SSE：用于常识推理的半结构化推理
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning
摘要：
我们提出了COPA的半结构化解释（COPA-SSE），这是一个新的众包数据集，包含9，747个半结构化的英语常识解释，用于合理选择（COPA）问题。这些解释被格式化为一组类似三重的常识陈述，具有ConceptNet关系，但可以自由编写概念。这种半结构化格式在结构化数据的高质量但低覆盖率和自由形式众包的低质量但高覆盖率之间取得了平衡。每种解释还包括一组人类给出的质量评级。这些解释以其熟悉的格式面向在知识图谱上操作的常识推理者，并作为改进此类系统的持续工作的起点。该数据集可在https://github.com/a-brassard/copa-sse上获得。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
