@inproceedings{zhang-etal-2018-personalizing,
title = "Personalizing Dialogue Agents: {I} have a dog, do you have pets too?",
author = "Zhang, Saizheng and
Dinan, Emily and
Urbanek, Jack and
Szlam, Arthur and
Kiela, Douwe and
Weston, Jason",
editor = "Gurevych, Iryna and
Miyao, Yusuke",
booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P18-1205",
doi = "10.18653/v1/P18-1205",
pages = "2204--2213",
abstract = "Chit-chat models are known to have several problems: they lack specificity, do not display a consistent personality and are often not very captivating. In this work we present the task of making chit-chat more engaging by conditioning on profile information. We collect data and train models to (i)condition on their given profile information; and (ii) information about the person they are talking to, resulting in improved dialogues, as measured by next utterance prediction. Since (ii) is initially unknown our model is trained to engage its partner with personal topics, and we show the resulting dialogue can be used to predict profile information about the interlocutors.",
}
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<abstract>Chit-chat models are known to have several problems: they lack specificity, do not display a consistent personality and are often not very captivating. In this work we present the task of making chit-chat more engaging by conditioning on profile information. We collect data and train models to (i)condition on their given profile information; and (ii) information about the person they are talking to, resulting in improved dialogues, as measured by next utterance prediction. Since (ii) is initially unknown our model is trained to engage its partner with personal topics, and we show the resulting dialogue can be used to predict profile information about the interlocutors.</abstract>
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%0 Conference Proceedings
%T Personalizing Dialogue Agents: I have a dog, do you have pets too?
%A Zhang, Saizheng
%A Dinan, Emily
%A Urbanek, Jack
%A Szlam, Arthur
%A Kiela, Douwe
%A Weston, Jason
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F zhang-etal-2018-personalizing
%X Chit-chat models are known to have several problems: they lack specificity, do not display a consistent personality and are often not very captivating. In this work we present the task of making chit-chat more engaging by conditioning on profile information. We collect data and train models to (i)condition on their given profile information; and (ii) information about the person they are talking to, resulting in improved dialogues, as measured by next utterance prediction. Since (ii) is initially unknown our model is trained to engage its partner with personal topics, and we show the resulting dialogue can be used to predict profile information about the interlocutors.
%R 10.18653/v1/P18-1205
%U https://aclanthology.org/P18-1205
%U https://doi.org/10.18653/v1/P18-1205
%P 2204-2213
Markdown (Informal)
[Personalizing Dialogue Agents: I have a dog, do you have pets too?](https://aclanthology.org/P18-1205) (Zhang et al., ACL 2018)
ACL
- Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018. Personalizing Dialogue Agents: I have a dog, do you have pets too?. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2204–2213, Melbourne, Australia. Association for Computational Linguistics.