CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation

Deeksha Varshney, Aizan Zafar, Niranshu Behera, Asif Ekbal


Anthology ID:
2022.emnlp-main.782
Volume:
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates
Editors:
Yoav Goldberg, Zornitsa Kozareva, Yue Zhang
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
11373–11385
Language:
URL:
https://aclanthology.org/2022.emnlp-main.782
DOI:
10.18653/v1/2022.emnlp-main.782
Bibkey:
Cite (ACL):
Deeksha Varshney, Aizan Zafar, Niranshu Behera, and Asif Ekbal. 2022. CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11373–11385, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
Cite (Informal):
CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation (Varshney et al., EMNLP 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.emnlp-main.782.pdf
Software:
 2022.emnlp-main.782.software.zip
Dataset:
 2022.emnlp-main.782.dataset.zip