@inproceedings{liu-etal-2019-rhetorically,
title = "Rhetorically Controlled Encoder-Decoder for {M}odern {C}hinese Poetry Generation",
author = "Liu, Zhiqiang and
Fu, Zuohui and
Cao, Jie and
de Melo, Gerard and
Tam, Yik-Cheung and
Niu, Cheng and
Zhou, Jie",
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/P19-1192",
doi = "10.18653/v1/P19-1192",
pages = "1992--2001",
abstract = "Rhetoric is a vital element in modern poetry, and plays an essential role in improving its aesthetics. However, to date, it has not been considered in research on automatic poetry generation. In this paper, we propose a rhetorically controlled encoder-decoder for modern Chinese poetry generation. Our model relies on a continuous latent variable as a rhetoric controller to capture various rhetorical patterns in an encoder, and then incorporates rhetoric-based mixtures while generating modern Chinese poetry. For metaphor and personification, an automated evaluation shows that our model outperforms state-of-the-art baselines by a substantial margin, while human evaluation shows that our model generates better poems than baseline methods in terms of fluency, coherence, meaningfulness, and rhetorical aesthetics.",
}
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<abstract>Rhetoric is a vital element in modern poetry, and plays an essential role in improving its aesthetics. However, to date, it has not been considered in research on automatic poetry generation. In this paper, we propose a rhetorically controlled encoder-decoder for modern Chinese poetry generation. Our model relies on a continuous latent variable as a rhetoric controller to capture various rhetorical patterns in an encoder, and then incorporates rhetoric-based mixtures while generating modern Chinese poetry. For metaphor and personification, an automated evaluation shows that our model outperforms state-of-the-art baselines by a substantial margin, while human evaluation shows that our model generates better poems than baseline methods in terms of fluency, coherence, meaningfulness, and rhetorical aesthetics.</abstract>
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%0 Conference Proceedings
%T Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation
%A Liu, Zhiqiang
%A Fu, Zuohui
%A Cao, Jie
%A de Melo, Gerard
%A Tam, Yik-Cheung
%A Niu, Cheng
%A Zhou, Jie
%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 liu-etal-2019-rhetorically
%X Rhetoric is a vital element in modern poetry, and plays an essential role in improving its aesthetics. However, to date, it has not been considered in research on automatic poetry generation. In this paper, we propose a rhetorically controlled encoder-decoder for modern Chinese poetry generation. Our model relies on a continuous latent variable as a rhetoric controller to capture various rhetorical patterns in an encoder, and then incorporates rhetoric-based mixtures while generating modern Chinese poetry. For metaphor and personification, an automated evaluation shows that our model outperforms state-of-the-art baselines by a substantial margin, while human evaluation shows that our model generates better poems than baseline methods in terms of fluency, coherence, meaningfulness, and rhetorical aesthetics.
%R 10.18653/v1/P19-1192
%U https://aclanthology.org/P19-1192
%U https://doi.org/10.18653/v1/P19-1192
%P 1992-2001
Markdown (Informal)
[Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation](https://aclanthology.org/P19-1192) (Liu et al., ACL 2019)
ACL