NAACL 2022long8 citations
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition
Pengshan Cai, Hui Wan, Fei Liu, Mo Yu, Hong Yu, Sachindra Joshi
Abstract
We propose novel AI-empowered chat bots for learning as conversation where a user does not read a passage but gains information and knowledge through conversation with a teacher bot. Our information acquisition-oriented dialogue system employs a novel adaptation of reinforced self-play so that the system can be transferred to various domains without in-domain dialogue data, and can carry out conversations both informative and attentive to users.
BibTeX
@inproceedings{cai-etal-2022-learning,
title = "Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition",
author = "Cai, Pengshan and
Wan, Hui and
Liu, Fei and
Yu, Mo and
Yu, Hong and
Joshi, Sachindra",
editor = "Carpuat, Marine and
de Marneffe, Marie-Catherine and
Meza Ruiz, Ivan Vladimir",
booktitle = "Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.naacl-main.352/",
doi = "10.18653/v1/2022.naacl-main.352",
pages = "4781--4796"
}