User-centered & Robust NLP OSS: Lessons Learned from Developing & Maintaining RSMTool

Nitin Madnani, Anastassia Loukina


Abstract
For the last 5 years, we have developed and maintained RSMTool – an open-source tool for evaluating NLP systems that automatically score written and spoken responses. RSMTool is designed to be cross-disciplinary, borrowing heavily from NLP, machine learning, and educational measurement. Its cross-disciplinary nature has required us to learn a user-centered development approach in terms of both design and implementation. We share some of these lessons in this paper.
Anthology ID:
2020.nlposs-1.20
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:
141–146
Language:
URL:
https://aclanthology.org/2020.nlposs-1.20
DOI:
10.18653/v1/2020.nlposs-1.20
Bibkey:
Cite (ACL):
Nitin Madnani and Anastassia Loukina. 2020. User-centered & Robust NLP OSS: Lessons Learned from Developing & Maintaining RSMTool. In Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS), pages 141–146, Online. Association for Computational Linguistics.
Cite (Informal):
User-centered & Robust NLP OSS: Lessons Learned from Developing & Maintaining RSMTool (Madnani & Loukina, NLPOSS 2020)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/2020.nlposs-1.20.pdf
Video:
 https://slideslive.com/38939758