COPA-SSE: Semi-structured Explanations for Commonsense Reasoning

被引：0
|
作者：
Brassard, Ana [1 ,2 ]
Heinzerling, Benjamin [1 ,2 ]
Kavumba, Pride [1 ,2 ]
Inui, Kentaro [1 ,2 ]
机构：
[1] Riken AIP, Tokyo, Japan
[2] Tohoku NLP Lab, Sendai, Miyagi, Japan
来源：
LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | 2022年
关键词：
Collaborative Resource Construction & Crowdsourcing; Corpus; (Creation; Annotation; etc.); Knowledge Discovery/Representation; Question Answering;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
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.
引用
收藏
页码：3994 / 4000
页数：7
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