GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning

Zilong Zheng, Shuwen Qiu, Lifeng Fan, Yixin Zhu, Song-Chun Zhu


Anthology ID:
2021.findings-acl.182
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2074–2085
Language:
URL:
https://aclanthology.org/2021.findings-acl.182
DOI:
10.18653/v1/2021.findings-acl.182
Bibkey:
Cite (ACL):
Zilong Zheng, Shuwen Qiu, Lifeng Fan, Yixin Zhu, and Song-Chun Zhu. 2021. GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 2074–2085, Online. Association for Computational Linguistics.
Cite (Informal):
GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning (Zheng et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.182.pdf
Data
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