COPA-SSE: Semi-structured Explanations for Commonsense Reasoning

Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui


Abstract
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.
Anthology ID:
2022.lrec-1.425
Volume:
Proceedings of the Thirteenth Language Resources and Evaluation Conference
Month:
June
Year:
2022
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3994–4000
Language:
URL:
https://aclanthology.org/2022.lrec-1.425
DOI:
Bibkey:
Cite (ACL):
Ana Brassard, Benjamin Heinzerling, Pride Kavumba, and Kentaro Inui. 2022. COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3994–4000, Marseille, France. European Language Resources Association.
Cite (Informal):
COPA-SSE: Semi-structured Explanations for Commonsense Reasoning (Brassard et al., LREC 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.lrec-1.425.pdf
Code
 a-brassard/copa-sse
Data
COPA-SSECOPAConceptNet