<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="yi-etal-2018-chinese">
    <titleInfo>
        <title>Chinese Poetry Generation with a Salient-Clue Mechanism</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Xiaoyuan</namePart>
        <namePart type="family">Yi</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ruoyu</namePart>
        <namePart type="family">Li</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Maosong</namePart>
        <namePart type="family">Sun</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2018-10</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 22nd Conference on Computational Natural Language Learning</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Anna</namePart>
            <namePart type="family">Korhonen</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Ivan</namePart>
            <namePart type="family">Titov</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Brussels, Belgium</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>As a precious part of the human cultural heritage, Chinese poetry has influenced people for generations. Automatic poetry composition is a challenge for AI. In recent years, significant progress has been made in this area benefiting from the development of neural networks. However, the coherence in meaning, theme or even artistic conception for a generated poem as a whole still remains a big problem. In this paper, we propose a novel Salient-Clue mechanism for Chinese poetry generation. Different from previous work which tried to exploit all the context information, our model selects the most salient characters automatically from each so-far generated line to gradually form a salient clue, which is utilized to guide successive poem generation process so as to eliminate interruptions and improve coherence. Besides, our model can be flexibly extended to control the generated poem in different aspects, for example, poetry style, which further enhances the coherence. Experimental results show that our model is very effective, outperforming three strong baselines.</abstract>
    <identifier type="citekey">yi-etal-2018-chinese</identifier>
    <identifier type="doi">10.18653/v1/K18-1024</identifier>
    <location>
        <url>https://aclanthology.org/K18-1024</url>
    </location>
    <part>
        <date>2018-10</date>
        <extent unit="page">
            <start>241</start>
            <end>250</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Chinese Poetry Generation with a Salient-Clue Mechanism
%A Yi, Xiaoyuan
%A Li, Ruoyu
%A Sun, Maosong
%Y Korhonen, Anna
%Y Titov, Ivan
%S Proceedings of the 22nd Conference on Computational Natural Language Learning
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F yi-etal-2018-chinese
%X As a precious part of the human cultural heritage, Chinese poetry has influenced people for generations. Automatic poetry composition is a challenge for AI. In recent years, significant progress has been made in this area benefiting from the development of neural networks. However, the coherence in meaning, theme or even artistic conception for a generated poem as a whole still remains a big problem. In this paper, we propose a novel Salient-Clue mechanism for Chinese poetry generation. Different from previous work which tried to exploit all the context information, our model selects the most salient characters automatically from each so-far generated line to gradually form a salient clue, which is utilized to guide successive poem generation process so as to eliminate interruptions and improve coherence. Besides, our model can be flexibly extended to control the generated poem in different aspects, for example, poetry style, which further enhances the coherence. Experimental results show that our model is very effective, outperforming three strong baselines.
%R 10.18653/v1/K18-1024
%U https://aclanthology.org/K18-1024
%U https://doi.org/10.18653/v1/K18-1024
%P 241-250

Markdown (Informal)

[Chinese Poetry Generation with a Salient-Clue Mechanism](https://aclanthology.org/K18-1024) (Yi et al., CoNLL 2018)

• Chinese Poetry Generation with a Salient-Clue Mechanism (Yi et al., CoNLL 2018)

ACL

• Xiaoyuan Yi, Ruoyu Li, and Maosong Sun. 2018. Chinese Poetry Generation with a Salient-Clue Mechanism. In Proceedings of the 22nd Conference on Computational Natural Language Learning, pages 241–250, Brussels, Belgium. Association for Computational Linguistics.