@inproceedings{beau-crabbe-2022-impact,
title = "The impact of lexical and grammatical processing on generating code from natural language",
author = {Beau, Nathana{\"e}l and
Crabb{\'e}, Benoit},
editor = "Muresan, Smaranda and
Nakov, Preslav and
Villavicencio, Aline",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2022",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.findings-acl.173/",
doi = "10.18653/v1/2022.findings-acl.173",
pages = "2204--2214",
abstract = "Considering the seq2seq architecture of Yin and Neubig (2018) for natural language to code translation, we identify four key components of importance: grammatical constraints, lexical preprocessing, input representations, and copy mechanisms. To study the impact of these components, we use a state-of-the-art architecture that relies on BERT encoder and a grammar-based decoder for which a formalization is provided. The paper highlights the importance of the lexical substitution component in the current natural language to code systems."
}
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%0 Conference Proceedings
%T The impact of lexical and grammatical processing on generating code from natural language
%A Beau, Nathanaël
%A Crabbé, Benoit
%Y Muresan, Smaranda
%Y Nakov, Preslav
%Y Villavicencio, Aline
%S Findings of the Association for Computational Linguistics: ACL 2022
%D 2022
%8 May
%I Association for Computational Linguistics
%C Dublin, Ireland
%F beau-crabbe-2022-impact
%X Considering the seq2seq architecture of Yin and Neubig (2018) for natural language to code translation, we identify four key components of importance: grammatical constraints, lexical preprocessing, input representations, and copy mechanisms. To study the impact of these components, we use a state-of-the-art architecture that relies on BERT encoder and a grammar-based decoder for which a formalization is provided. The paper highlights the importance of the lexical substitution component in the current natural language to code systems.
%R 10.18653/v1/2022.findings-acl.173
%U https://aclanthology.org/2022.findings-acl.173/
%U https://doi.org/10.18653/v1/2022.findings-acl.173
%P 2204-2214
Markdown (Informal)
[The impact of lexical and grammatical processing on generating code from natural language](https://aclanthology.org/2022.findings-acl.173/) (Beau & Crabbé, Findings 2022)
ACL