@inproceedings{song-etal-2019-generating,
title = "Generating Responses with a Specific Emotion in Dialog",
author = "Song, Zhenqiao and
Zheng, Xiaoqing and
Liu, Lu and
Xu, Mu and
Huang, Xuanjing",
editor = "Korhonen, Anna and
Traum, David and
M{\`a}rquez, Llu{\'\i}s",
booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P19-1359",
doi = "10.18653/v1/P19-1359",
pages = "3685--3695",
abstract = "It is desirable for dialog systems to have capability to express specific emotions during a conversation, which has a direct, quantifiable impact on improvement of their usability and user satisfaction. After a careful investigation of real-life conversation data, we found that there are at least two ways to express emotions with language. One is to describe emotional states by explicitly using strong emotional words; another is to increase the intensity of the emotional experiences by implicitly combining neutral words in distinct ways. We propose an emotional dialogue system (EmoDS) that can generate the meaningful responses with a coherent structure for a post, and meanwhile express the desired emotion explicitly or implicitly within a unified framework. Experimental results showed EmoDS performed better than the baselines in BLEU, diversity and the quality of emotional expression.",
}
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<abstract>It is desirable for dialog systems to have capability to express specific emotions during a conversation, which has a direct, quantifiable impact on improvement of their usability and user satisfaction. After a careful investigation of real-life conversation data, we found that there are at least two ways to express emotions with language. One is to describe emotional states by explicitly using strong emotional words; another is to increase the intensity of the emotional experiences by implicitly combining neutral words in distinct ways. We propose an emotional dialogue system (EmoDS) that can generate the meaningful responses with a coherent structure for a post, and meanwhile express the desired emotion explicitly or implicitly within a unified framework. Experimental results showed EmoDS performed better than the baselines in BLEU, diversity and the quality of emotional expression.</abstract>
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%0 Conference Proceedings
%T Generating Responses with a Specific Emotion in Dialog
%A Song, Zhenqiao
%A Zheng, Xiaoqing
%A Liu, Lu
%A Xu, Mu
%A Huang, Xuanjing
%Y Korhonen, Anna
%Y Traum, David
%Y Màrquez, Lluís
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F song-etal-2019-generating
%X It is desirable for dialog systems to have capability to express specific emotions during a conversation, which has a direct, quantifiable impact on improvement of their usability and user satisfaction. After a careful investigation of real-life conversation data, we found that there are at least two ways to express emotions with language. One is to describe emotional states by explicitly using strong emotional words; another is to increase the intensity of the emotional experiences by implicitly combining neutral words in distinct ways. We propose an emotional dialogue system (EmoDS) that can generate the meaningful responses with a coherent structure for a post, and meanwhile express the desired emotion explicitly or implicitly within a unified framework. Experimental results showed EmoDS performed better than the baselines in BLEU, diversity and the quality of emotional expression.
%R 10.18653/v1/P19-1359
%U https://aclanthology.org/P19-1359
%U https://doi.org/10.18653/v1/P19-1359
%P 3685-3695
Markdown (Informal)
[Generating Responses with a Specific Emotion in Dialog](https://aclanthology.org/P19-1359) (Song et al., ACL 2019)
ACL
- Zhenqiao Song, Xiaoqing Zheng, Lu Liu, Mu Xu, and Xuanjing Huang. 2019. Generating Responses with a Specific Emotion in Dialog. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 3685–3695, Florence, Italy. Association for Computational Linguistics.