Developing and Evaluating a Dataset for How-to Tip Machine Reading at Scale

Fuzhu Zhu, Shuting Bai, Tingxuan Li, Takehito Utsuro


Anthology ID:
2022.paclic-1.16
Volume:
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation
Month:
October
Year:
2022
Address:
Manila, Philippines
Editors:
Shirley Dita, Arlene Trillanes, Rochelle Irene Lucas
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
137–146
Language:
URL:
https://aclanthology.org/2022.paclic-1.16
DOI:
Bibkey:
Cite (ACL):
Fuzhu Zhu, Shuting Bai, Tingxuan Li, and Takehito Utsuro. 2022. Developing and Evaluating a Dataset for How-to Tip Machine Reading at Scale. In Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, pages 137–146, Manila, Philippines. Association for Computational Linguistics.
Cite (Informal):
Developing and Evaluating a Dataset for How-to Tip Machine Reading at Scale (Zhu et al., PACLIC 2022)
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PDF:
https://preview.aclanthology.org/nschneid-patch-4/2022.paclic-1.16.pdf