@inproceedings{kann-etal-2022-open,
title = "Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next",
author = "Kann, Katharina and
Ebrahimi, Abteen and
Koh, Joewie and
Dudy, Shiran and
Roncone, Alessandro",
editor = "Liu, Bing and
Papangelis, Alexandros and
Ultes, Stefan and
Rastogi, Abhinav and
Chen, Yun-Nung and
Spithourakis, Georgios and
Nouri, Elnaz and
Shi, Weiyan",
booktitle = "Proceedings of the 4th Workshop on NLP for Conversational AI",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.nlp4convai-1.13",
doi = "10.18653/v1/2022.nlp4convai-1.13",
pages = "148--165",
abstract = "Human{--}computer conversation has long been an interest of artificial intelligence and natural language processing research. Recent years have seen a dramatic improvement in quality for both task-oriented and open-domain dialogue systems, and an increasing amount of research in the area. The goal of this work is threefold: (1) to provide an overview of recent advances in the field of open-domain dialogue, (2) to summarize issues related to ethics, bias, and fairness that the field has identified as well as typical errors of dialogue systems, and (3) to outline important future challenges. We hope that this work will be of interest to both new and experienced researchers in the area.",
}
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<abstract>Human–computer conversation has long been an interest of artificial intelligence and natural language processing research. Recent years have seen a dramatic improvement in quality for both task-oriented and open-domain dialogue systems, and an increasing amount of research in the area. The goal of this work is threefold: (1) to provide an overview of recent advances in the field of open-domain dialogue, (2) to summarize issues related to ethics, bias, and fairness that the field has identified as well as typical errors of dialogue systems, and (3) to outline important future challenges. We hope that this work will be of interest to both new and experienced researchers in the area.</abstract>
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%0 Conference Proceedings
%T Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next
%A Kann, Katharina
%A Ebrahimi, Abteen
%A Koh, Joewie
%A Dudy, Shiran
%A Roncone, Alessandro
%Y Liu, Bing
%Y Papangelis, Alexandros
%Y Ultes, Stefan
%Y Rastogi, Abhinav
%Y Chen, Yun-Nung
%Y Spithourakis, Georgios
%Y Nouri, Elnaz
%Y Shi, Weiyan
%S Proceedings of the 4th Workshop on NLP for Conversational AI
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F kann-etal-2022-open
%X Human–computer conversation has long been an interest of artificial intelligence and natural language processing research. Recent years have seen a dramatic improvement in quality for both task-oriented and open-domain dialogue systems, and an increasing amount of research in the area. The goal of this work is threefold: (1) to provide an overview of recent advances in the field of open-domain dialogue, (2) to summarize issues related to ethics, bias, and fairness that the field has identified as well as typical errors of dialogue systems, and (3) to outline important future challenges. We hope that this work will be of interest to both new and experienced researchers in the area.
%R 10.18653/v1/2022.nlp4convai-1.13
%U https://aclanthology.org/2022.nlp4convai-1.13
%U https://doi.org/10.18653/v1/2022.nlp4convai-1.13
%P 148-165
Markdown (Informal)
[Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next](https://aclanthology.org/2022.nlp4convai-1.13) (Kann et al., NLP4ConvAI 2022)
ACL