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        <title>BLEU is Not Suitable for the Evaluation of Text Simplification</title>
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        <namePart type="given">Elior</namePart>
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    <name type="personal">
        <namePart type="given">Ari</namePart>
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        <dateIssued>2018-oct-nov</dateIssued>
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            <title>Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing</title>
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            <namePart type="given">Ellen</namePart>
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            <namePart type="given">David</namePart>
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    <abstract>BLEU is widely considered to be an informative metric for text-to-text generation, including Text Simplification (TS). TS includes both lexical and structural aspects. In this paper we show that BLEU is not suitable for the evaluation of sentence splitting, the major structural simplification operation. We manually compiled a sentence splitting gold standard corpus containing multiple structural paraphrases, and performed a correlation analysis with human judgments. We find low or no correlation between BLEU and the grammaticality and meaning preservation parameters where sentence splitting is involved. Moreover, BLEU often negatively correlates with simplicity, essentially penalizing simpler sentences.</abstract>
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    <identifier type="doi">10.18653/v1/D18-1081</identifier>
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        <date>2018-oct-nov</date>
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            <start>738</start>
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%0 Conference Proceedings
%T BLEU is Not Suitable for the Evaluation of Text Simplification
%A Sulem, Elior
%A Abend, Omri
%A Rappoport, Ari
%Y Riloff, Ellen
%Y Chiang, David
%Y Hockenmaier, Julia
%Y Tsujii, Jun’ichi
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
%D 2018
%8 oct nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F sulem-etal-2018-bleu
%X BLEU is widely considered to be an informative metric for text-to-text generation, including Text Simplification (TS). TS includes both lexical and structural aspects. In this paper we show that BLEU is not suitable for the evaluation of sentence splitting, the major structural simplification operation. We manually compiled a sentence splitting gold standard corpus containing multiple structural paraphrases, and performed a correlation analysis with human judgments. We find low or no correlation between BLEU and the grammaticality and meaning preservation parameters where sentence splitting is involved. Moreover, BLEU often negatively correlates with simplicity, essentially penalizing simpler sentences.
%R 10.18653/v1/D18-1081
%U https://aclanthology.org/D18-1081
%U https://doi.org/10.18653/v1/D18-1081
%P 738-744

Markdown (Informal)

[BLEU is Not Suitable for the Evaluation of Text Simplification](https://aclanthology.org/D18-1081) (Sulem et al., EMNLP 2018)

• BLEU is Not Suitable for the Evaluation of Text Simplification (Sulem et al., EMNLP 2018)

ACL

• Elior Sulem, Omri Abend, and Ari Rappoport. 2018. BLEU is Not Suitable for the Evaluation of Text Simplification. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 738–744, Brussels, Belgium. Association for Computational Linguistics.