Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition. Cai, P., Wan, H., Liu, F., Yu, M., Yu, H., & Joshi, S. In Carpuat, M., de Marneffe, M., & Meza Ruiz, I. V., editors, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 4781–4796, Seattle, United States, July, 2022. Association for Computational Linguistics.
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition [link]Paper  doi  abstract   bibtex   
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.
@inproceedings{cai_learning_2022,
	address = {Seattle, United States},
	title = {Learning as {Conversation}: {Dialogue} {Systems} {Reinforced} for {Information} {Acquisition}},
	shorttitle = {Learning as {Conversation}},
	url = {https://aclanthology.org/2022.naacl-main.352},
	doi = {10.18653/v1/2022.naacl-main.352},
	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.},
	urldate = {2023-11-14},
	booktitle = {Proceedings of the 2022 {Conference} of the {North} {American} {Chapter} of the {Association} for {Computational} {Linguistics}: {Human} {Language} {Technologies}},
	publisher = {Association for Computational Linguistics},
	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},
	month = jul,
	year = {2022},
	pages = {4781--4796},
}

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