GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering

Ritam Dutt, Sopan Khosla, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah


Anthology ID:
2023.ijcnlp-main.58
Volume:
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Month:
November
Year:
2023
Address:
Nusa Dua, Bali
Editors:
Jong C. Park, Yuki Arase, Baotian Hu, Wei Lu, Derry Wijaya, Ayu Purwarianti, Adila Alfa Krisnadhi
Venues:
IJCNLP | AACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
897–909
Language:
URL:
https://aclanthology.org/2023.ijcnlp-main.58
DOI:
10.18653/v1/2023.ijcnlp-main.58
Bibkey:
Cite (ACL):
Ritam Dutt, Sopan Khosla, Vinayshekhar Bannihatti Kumar, and Rashmi Gangadharaiah. 2023. GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 897–909, Nusa Dua, Bali. Association for Computational Linguistics.
Cite (Informal):
GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering (Dutt et al., IJCNLP-AACL 2023)
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PDF:
https://preview.aclanthology.org/improve-issue-templates/2023.ijcnlp-main.58.pdf
Dataset:
 2023.ijcnlp-main.58.Dataset.pdf