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        <title>The Natural Language Pipeline, Neural Text Generation and Explainability</title>
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        <namePart type="given">Juliette</namePart>
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            <title>2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence</title>
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            <namePart type="given">Jose</namePart>
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        <name type="personal">
            <namePart type="given">Alejandro</namePart>
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    <abstract>End-to-end encoder-decoder approaches to data-to-text generation are often black boxes whose predictions are difficult to explain. Breaking up the end-to-end model into sub-modules is a natural way to address this problem. The traditional pre-neural Natural Language Generation (NLG) pipeline provides a framework for breaking up the end-to-end encoder-decoder. We survey recent papers that integrate traditional NLG submodules in neural approaches and analyse their explainability. Our survey is a first step towards building explainable neural NLG models.</abstract>
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%0 Conference Proceedings
%T The Natural Language Pipeline, Neural Text Generation and Explainability
%A Faille, Juliette
%A Gatt, Albert
%A Gardent, Claire
%Y Alonso, Jose M.
%Y Catala, Alejandro
%S 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence
%D 2020
%8 November
%I Association for Computational Linguistics
%C Dublin, Ireland
%F faille-etal-2020-natural
%X End-to-end encoder-decoder approaches to data-to-text generation are often black boxes whose predictions are difficult to explain. Breaking up the end-to-end model into sub-modules is a natural way to address this problem. The traditional pre-neural Natural Language Generation (NLG) pipeline provides a framework for breaking up the end-to-end encoder-decoder. We survey recent papers that integrate traditional NLG submodules in neural approaches and analyse their explainability. Our survey is a first step towards building explainable neural NLG models.
%U https://aclanthology.org/2020.nl4xai-1.5
%P 16-21

Markdown (Informal)

[The Natural Language Pipeline, Neural Text Generation and Explainability](https://aclanthology.org/2020.nl4xai-1.5) (Faille et al., NL4XAI 2020)

• The Natural Language Pipeline, Neural Text Generation and Explainability (Faille et al., NL4XAI 2020)

ACL

• Juliette Faille, Albert Gatt, and Claire Gardent. 2020. The Natural Language Pipeline, Neural Text Generation and Explainability. In 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, pages 16–21, Dublin, Ireland. Association for Computational Linguistics.