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        <title>DCU-NLG-Small at the GEM’24 Data-to-Text Task: Rule-based generation and post-processing with T5-Base</title>
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    <name type="personal">
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            <title>Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges</title>
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            <namePart type="given">Simon</namePart>
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        <name type="personal">
            <namePart type="given">Miruna-Adriana</namePart>
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    <abstract>Our submission to the GEM data-to-text shared task aims to assess the quality of texts produced by the combination of a rule-based system with a language model of reduced size, by first using a rule-based generator to convert input triples into semantically correct English text, and then a language model to paraphrase these texts to make them more fluent. The texts are translated to languages other than English with the NLLB machine translation system.</abstract>
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%0 Conference Proceedings
%T DCU-NLG-Small at the GEM’24 Data-to-Text Task: Rule-based generation and post-processing with T5-Base
%A Mille, Simon
%A Sabry, Mohammed
%A Belz, Anya
%Y Mille, Simon
%Y Clinciu, Miruna-Adriana
%S Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges
%D 2024
%8 September
%I Association for Computational Linguistics
%C Tokyo, Japan
%F mille-etal-2024-dcu
%X Our submission to the GEM data-to-text shared task aims to assess the quality of texts produced by the combination of a rule-based system with a language model of reduced size, by first using a rule-based generator to convert input triples into semantically correct English text, and then a language model to paraphrase these texts to make them more fluent. The texts are translated to languages other than English with the NLLB machine translation system.
%U https://aclanthology.org/2024.inlg-genchal.9
%P 84-91

Markdown (Informal)

[DCU-NLG-Small at the GEM’24 Data-to-Text Task: Rule-based generation and post-processing with T5-Base](https://aclanthology.org/2024.inlg-genchal.9) (Mille et al., INLG 2024)

• DCU-NLG-Small at the GEM’24 Data-to-Text Task: Rule-based generation and post-processing with T5-Base (Mille et al., INLG 2024)

ACL

• Simon Mille, Mohammed Sabry, and Anya Belz. 2024. DCU-NLG-Small at the GEM’24 Data-to-Text Task: Rule-based generation and post-processing with T5-Base. In Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges, pages 84–91, Tokyo, Japan. Association for Computational Linguistics.