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        <title>A Pipeline for Extracting Abstract Dependency Templates for Data-to-Text Natural Language Generation</title>
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        <namePart type="given">Simon</namePart>
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    <name type="personal">
        <namePart type="given">Alexander</namePart>
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    <name type="personal">
        <namePart type="given">Anya</namePart>
        <namePart type="family">Belz</namePart>
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            <title>Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023)</title>
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            <namePart type="given">Owen</namePart>
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        <name type="personal">
            <namePart type="given">François</namePart>
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    <abstract>We present work in progress that aims to address the coverage issue faced by rule-based text generators. We propose a pipeline for extracting abstract dependency template (predicate-argument structures) from Wikipedia text to be used as input for generating text from structured data with the FORGe system. The pipeline comprises three main components: (i) candidate sentence retrieval, (ii) clause extraction, ranking and selection, and (iii) conversion to predicate-argument form. We present an approach and preliminary evaluation for the ranking and selection module.</abstract>
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        <date>2023-03</date>
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            <start>91</start>
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%0 Conference Proceedings
%T A Pipeline for Extracting Abstract Dependency Templates for Data-to-Text Natural Language Generation
%A Mille, Simon
%A Ricci, Josep
%A Shvets, Alexander
%A Belz, Anya
%Y Rambow, Owen
%Y Lareau, François
%S Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023)
%D 2023
%8 March
%I Association for Computational Linguistics
%C Washington, D.C.
%F mille-etal-2023-pipeline
%X We present work in progress that aims to address the coverage issue faced by rule-based text generators. We propose a pipeline for extracting abstract dependency template (predicate-argument structures) from Wikipedia text to be used as input for generating text from structured data with the FORGe system. The pipeline comprises three main components: (i) candidate sentence retrieval, (ii) clause extraction, ranking and selection, and (iii) conversion to predicate-argument form. We present an approach and preliminary evaluation for the ranking and selection module.
%U https://aclanthology.org/2023.depling-1.9
%P 91-101

Markdown (Informal)

[A Pipeline for Extracting Abstract Dependency Templates for Data-to-Text Natural Language Generation](https://aclanthology.org/2023.depling-1.9) (Mille et al., DepLing-SyntaxFest 2023)

• A Pipeline for Extracting Abstract Dependency Templates for Data-to-Text Natural Language Generation (Mille et al., DepLing-SyntaxFest 2023)

ACL

• Simon Mille, Josep Ricci, Alexander Shvets, and Anya Belz. 2023. A Pipeline for Extracting Abstract Dependency Templates for Data-to-Text Natural Language Generation. In Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023), pages 91–101, Washington, D.C.. Association for Computational Linguistics.