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        <title>Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization</title>
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            <namePart type="given">Mirella</namePart>
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    <abstract>This paper tackles the reduction of redundant repeating generation that is often observed in RNN-based encoder-decoder models. Our basic idea is to jointly estimate the upper-bound frequency of each target vocabulary in the encoder and control the output words based on the estimation in the decoder. Our method shows significant improvement over a strong RNN-based encoder-decoder baseline and achieved its best results on an abstractive summarization benchmark.</abstract>
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%0 Conference Proceedings
%T Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
%A Suzuki, Jun
%A Nagata, Masaaki
%Y Lapata, Mirella
%Y Blunsom, Phil
%Y Koller, Alexander
%S Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F suzuki-nagata-2017-cutting
%X This paper tackles the reduction of redundant repeating generation that is often observed in RNN-based encoder-decoder models. Our basic idea is to jointly estimate the upper-bound frequency of each target vocabulary in the encoder and control the output words based on the estimation in the decoder. Our method shows significant improvement over a strong RNN-based encoder-decoder baseline and achieved its best results on an abstractive summarization benchmark.
%U https://aclanthology.org/E17-2047
%P 291-297

Markdown (Informal)

[Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization](https://aclanthology.org/E17-2047) (Suzuki & Nagata, EACL 2017)

• Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization (Suzuki & Nagata, EACL 2017)

ACL

• Jun Suzuki and Masaaki Nagata. 2017. Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization. In Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, pages 291–297, Valencia, Spain. Association for Computational Linguistics.