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        <namePart type="given">Yuta</namePart>
        <namePart type="family">Kikuchi</namePart>
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    <name type="personal">
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    <name type="personal">
        <namePart type="given">Manabu</namePart>
        <namePart type="family">Okumura</namePart>
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        <name type="personal">
            <namePart type="given">Min-Yen</namePart>
            <namePart type="family">Kan</namePart>
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    <abstract>In English, high-quality sentence compression models by deleting words have been trained on automatically created large training datasets. We work on Japanese sentence compression by a similar approach. To create a large Japanese training dataset, a method of creating English training dataset is modified based on the characteristics of the Japanese language. The created dataset is used to train Japanese sentence compression models based on the recurrent neural network.</abstract>
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    <identifier type="doi">10.18653/v1/P17-2044</identifier>
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%0 Conference Proceedings
%T Japanese Sentence Compression with a Large Training Dataset
%A Hasegawa, Shun
%A Kikuchi, Yuta
%A Takamura, Hiroya
%A Okumura, Manabu
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F hasegawa-etal-2017-japanese
%X In English, high-quality sentence compression models by deleting words have been trained on automatically created large training datasets. We work on Japanese sentence compression by a similar approach. To create a large Japanese training dataset, a method of creating English training dataset is modified based on the characteristics of the Japanese language. The created dataset is used to train Japanese sentence compression models based on the recurrent neural network.
%R 10.18653/v1/P17-2044
%U https://aclanthology.org/P17-2044
%U https://doi.org/10.18653/v1/P17-2044
%P 281-286

Markdown (Informal)

[Japanese Sentence Compression with a Large Training Dataset](https://aclanthology.org/P17-2044) (Hasegawa et al., ACL 2017)

• Japanese Sentence Compression with a Large Training Dataset (Hasegawa et al., ACL 2017)

ACL

• Shun Hasegawa, Yuta Kikuchi, Hiroya Takamura, and Manabu Okumura. 2017. Japanese Sentence Compression with a Large Training Dataset. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 281–286, Vancouver, Canada. Association for Computational Linguistics.