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        <title>Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes</title>
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        <namePart type="given">Miguel</namePart>
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            <title>Proceedings of the Third Workshop on New Frontiers in Summarization</title>
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            <namePart type="given">Giuseppe</namePart>
            <namePart type="family">Carenini</namePart>
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    <abstract>We present work on summarising deliberative processes for non-English languages. Unlike commonly studied datasets, such as news articles, this deliberation dataset reflects difficulties of combining multiple narratives, mostly of poor grammatical quality, in a single text. We report an extensive evaluation of a wide range of abstractive summarisation models in combination with an off-the-shelf machine translation model. Texts are translated into English, summarised, and translated back to the original language. We obtain promising results regarding the fluency, consistency and relevance of the summaries produced. Our approach is easy to implement for many languages for production purposes by simply changing the translation model.</abstract>
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%0 Conference Proceedings
%T Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes
%A Arana-Catania, Miguel
%A Procter, Rob
%A He, Yulan
%A Liakata, Maria
%Y Carenini, Giuseppe
%Y Cheung, Jackie Chi Kit
%Y Dong, Yue
%Y Liu, Fei
%Y Wang, Lu
%S Proceedings of the Third Workshop on New Frontiers in Summarization
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online and in Dominican Republic
%F arana-catania-etal-2021-evaluation
%X We present work on summarising deliberative processes for non-English languages. Unlike commonly studied datasets, such as news articles, this deliberation dataset reflects difficulties of combining multiple narratives, mostly of poor grammatical quality, in a single text. We report an extensive evaluation of a wide range of abstractive summarisation models in combination with an off-the-shelf machine translation model. Texts are translated into English, summarised, and translated back to the original language. We obtain promising results regarding the fluency, consistency and relevance of the summaries produced. Our approach is easy to implement for many languages for production purposes by simply changing the translation model.
%R 10.18653/v1/2021.newsum-1.7
%U https://aclanthology.org/2021.newsum-1.7
%U https://doi.org/10.18653/v1/2021.newsum-1.7
%P 57-64

Markdown (Informal)

[Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes](https://aclanthology.org/2021.newsum-1.7) (Arana-Catania et al., NewSum 2021)

• Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes (Arana-Catania et al., NewSum 2021)

ACL

• Miguel Arana-Catania, Rob Procter, Yulan He, and Maria Liakata. 2021. Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes. In Proceedings of the Third Workshop on New Frontiers in Summarization, pages 57–64, Online and in Dominican Republic. Association for Computational Linguistics.