@inproceedings{ke-etal-2018-generating,
title = "Generating Informative Responses with Controlled Sentence Function",
author = "Ke, Pei and
Guan, Jian and
Huang, Minlie and
Zhu, Xiaoyan",
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/P18-1139",
doi = "10.18653/v1/P18-1139",
pages = "1499--1508",
abstract = "Sentence function is a significant factor to achieve the purpose of the speaker, which, however, has not been touched in large-scale conversation generation so far. In this paper, we present a model to generate informative responses with controlled sentence function. Our model utilizes a continuous latent variable to capture various word patterns that realize the expected sentence function, and introduces a type controller to deal with the compatibility of controlling sentence function and generating informative content. Conditioned on the latent variable, the type controller determines the type (i.e., function-related, topic, and ordinary word) of a word to be generated at each decoding position. Experiments show that our model outperforms state-of-the-art baselines, and it has the ability to generate responses with both controlled sentence function and informative content.",
}
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%0 Conference Proceedings
%T Generating Informative Responses with Controlled Sentence Function
%A Ke, Pei
%A Guan, Jian
%A Huang, Minlie
%A Zhu, Xiaoyan
%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 ke-etal-2018-generating
%X Sentence function is a significant factor to achieve the purpose of the speaker, which, however, has not been touched in large-scale conversation generation so far. In this paper, we present a model to generate informative responses with controlled sentence function. Our model utilizes a continuous latent variable to capture various word patterns that realize the expected sentence function, and introduces a type controller to deal with the compatibility of controlling sentence function and generating informative content. Conditioned on the latent variable, the type controller determines the type (i.e., function-related, topic, and ordinary word) of a word to be generated at each decoding position. Experiments show that our model outperforms state-of-the-art baselines, and it has the ability to generate responses with both controlled sentence function and informative content.
%R 10.18653/v1/P18-1139
%U https://aclanthology.org/P18-1139
%U https://doi.org/10.18653/v1/P18-1139
%P 1499-1508
Markdown (Informal)
[Generating Informative Responses with Controlled Sentence Function](https://aclanthology.org/P18-1139) (Ke et al., ACL 2018)
ACL