End-to-end NLP Pipelines in Rust

Guillaume Becquin


Abstract
The recent progress in natural language processing research has been supported by the development of a rich open source ecosystem in Python. Libraries allowing NLP practitioners but also non-specialists to leverage state-of-the-art models have been instrumental in the democratization of this technology. The maturity of the open-source NLP ecosystem however varies between languages. This work proposes a new open-source library aimed at bringing state-of-the-art NLP to Rust. Rust is a systems programming language for which the foundations required to build machine learning applications are available but still lacks ready-to-use, end-to-end NLP libraries. The proposed library, rust-bert, implements modern language models and ready-to-use pipelines (for example translation or summarization). This allows further development by the Rust community from both NLP experts and non-specialists. It is hoped that this library will accelerate the development of the NLP ecosystem in Rust. The library is under active development and available at https://github.com/guillaume-be/rust-bert.
Anthology ID:
2020.nlposs-1.4
Volume:
Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)
Month:
November
Year:
2020
Address:
Online
Editors:
Eunjeong L. Park, Masato Hagiwara, Dmitrijs Milajevs, Nelson F. Liu, Geeticka Chauhan, Liling Tan
Venue:
NLPOSS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
20–25
Language:
URL:
https://aclanthology.org/2020.nlposs-1.4
DOI:
10.18653/v1/2020.nlposs-1.4
Bibkey:
Cite (ACL):
Guillaume Becquin. 2020. End-to-end NLP Pipelines in Rust. In Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS), pages 20–25, Online. Association for Computational Linguistics.
Cite (Informal):
End-to-end NLP Pipelines in Rust (Becquin, NLPOSS 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.nlposs-1.4.pdf
Video:
 https://slideslive.com/38939741
Code
 guillaume-be/rust-bert
Data
SQuADSSTSST-2