Paper title:
CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation
a) This work is accepted for publication in the Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP-2022).
b) This dataset is intended only for non-commercial, educational and/or research purposes only.
c) For access to the resoruce and any associated queries, please reach us at iitpainlpmlresourcerequest@gmail.com / 1821cs13@iitp.ac.in,
aizan_1921cs17@iitp.ac.in
d) The dataset is allowed to be used in any publication, only upon the following citations.
bibtex:
@inproceedings{varshney-etal-2022-cdialog,
title = "{CD}ialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation",
author = "Varshney, Deeksha and
Zafar, Aizan and
Behera, Niranshu and
Ekbal, Asif",
booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.emnlp-main.782",
doi = "10.18653/v1/2022.emnlp-main.782",
pages = "11373--11385",
}
