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    <abstract>In this paper, we study AMR-to-text generation, framing it as a translation task and comparing two different MT approaches (Phrase-based and Neural MT). We systematically study the effects of 3 AMR preprocessing steps (Delexicalisation, Compression, and Linearisation) applied before the MT phase. Our results show that preprocessing indeed helps, although the benefits differ for the two MT models.</abstract>
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%0 Conference Proceedings
%T Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation
%A Castro Ferreira, Thiago
%A Calixto, Iacer
%A Wubben, Sander
%A Krahmer, Emiel
%Y Alonso, Jose M.
%Y Bugarín, Alberto
%Y Reiter, Ehud
%S Proceedings of the 10th International Conference on Natural Language Generation
%D 2017
%8 September
%I Association for Computational Linguistics
%C Santiago de Compostela, Spain
%F castro-ferreira-etal-2017-linguistic
%X In this paper, we study AMR-to-text generation, framing it as a translation task and comparing two different MT approaches (Phrase-based and Neural MT). We systematically study the effects of 3 AMR preprocessing steps (Delexicalisation, Compression, and Linearisation) applied before the MT phase. Our results show that preprocessing indeed helps, although the benefits differ for the two MT models.
%R 10.18653/v1/W17-3501
%U https://aclanthology.org/W17-3501
%U https://doi.org/10.18653/v1/W17-3501
%P 1-10

Markdown (Informal)

[Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation](https://aclanthology.org/W17-3501) (Castro Ferreira et al., INLG 2017)

• Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation (Castro Ferreira et al., INLG 2017)

ACL

• Thiago Castro Ferreira, Iacer Calixto, Sander Wubben, and Emiel Krahmer. 2017. Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation. In Proceedings of the 10th International Conference on Natural Language Generation, pages 1–10, Santiago de Compostela, Spain. Association for Computational Linguistics.