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        <title>ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization</title>
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            <title>Proceedings of the Third Workshop on Multilingual Surface Realisation</title>
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    <abstract>In this paper, we describe the ADAPT submission to the Surface Realization Shared Task 2020. We present a neural-based system trained on the English Web Treebank and an augmented dataset, automatically created from existing text corpora.</abstract>
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%0 Conference Proceedings
%T ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization
%A Elder, Henry
%S Proceedings of the Third Workshop on Multilingual Surface Realisation
%D 2020
%8 December
%I Association for Computational Linguistics
%C Barcelona, Spain (Online)
%F elder-2020-adapt
%X In this paper, we describe the ADAPT submission to the Surface Realization Shared Task 2020. We present a neural-based system trained on the English Web Treebank and an augmented dataset, automatically created from existing text corpora.
%U https://aclanthology.org/2020.msr-1.3
%P 30-34

Markdown (Informal)

[ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization](https://aclanthology.org/2020.msr-1.3) (Elder, MSR 2020)

• ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization (Elder, MSR 2020)

ACL

• Henry Elder. 2020. ADAPT at SR’20: How Preprocessing and Data Augmentation Help to Improve Surface Realization. In Proceedings of the Third Workshop on Multilingual Surface Realisation, pages 30–34, Barcelona, Spain (Online). Association for Computational Linguistics.