2023.acl-demo.5@ACL

#1 PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development [PDF²] [Copy] [Kimi²]

Authors: Avi 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 ; Juergen Bross ; Radu Florian ; Salim Roukos

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 research 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 public benchmarks, and expanding pre-existing methods. PrimeQA is available at: https://github.com/primeqa.