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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2020.nlposs-1.4.pdf
- Code
- guillaume-be/rust-bert
- Data
- SQuAD, SST, SST-2