PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development
January 23, 2023 ยท Declared Dead ยท ๐ Annual Meeting of the Association for Computational Linguistics
Authors
Avirup Sil, Jaydeep Sen, Bhavani Iyer, Martin Franz, Kshitij Fadnis, Mihaela Bornea, Sara Rosenthal, Scott McCarley, Rong Zhang, Vishwajeet Kumar, Yulong Li, Md Arafat Sultan, Riyaz Bhat, Radu Florian, Salim Roukos
arXiv ID
2301.09715
Category
cs.CL: Computation & Language
Cross-listed
cs.IR,
cs.LG
Citations
5
Venue
Annual Meeting of the Association for Computational Linguistics
Repository
https://github.com/primeqa
Last Checked
1 month ago
Abstract
The field of Question Answering (QA) has made remarkable progress in recent years, thanks to the advent of large pre-trained language models, newer realistic benchmark datasets with leaderboards, and novel algorithms for key components such as retrievers and readers. In this paper, we introduce PRIMEQA: a one-stop and open-source QA repository with an aim to democratize QA re-search and facilitate easy replication of state-of-the-art (SOTA) QA methods. PRIMEQA supports core QA functionalities like retrieval and reading comprehension as well as auxiliary capabilities such as question generation.It has been designed as an end-to-end toolkit for various use cases: building front-end applications, replicating SOTA methods on pub-lic benchmarks, and expanding pre-existing methods. PRIMEQA is available at : https://github.com/primeqa.
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