@inproceedings{sil-etal-2023-primeqa,
title = "{P}rime{QA}: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development",
author = "Sil, Avi and
Sen, Jaydeep and
Iyer, Bhavani and
Franz, Martin and
Fadnis, Kshitij and
Bornea, Mihaela and
Rosenthal, Sara and
McCarley, Scott and
Zhang, Rong and
Kumar, Vishwajeet and
Li, Yulong and
Sultan, Md Arafat and
Bhat, Riyaz and
Bross, Juergen and
Florian, Radu and
Roukos, Salim",
editor = "Bollegala, Danushka and
Huang, Ruihong and
Ritter, Alan",
booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.acl-demo.5",
doi = "10.18653/v1/2023.acl-demo.5",
pages = "51--62",
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 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: \url{https://github.com/primeqa}.",
}
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%0 Conference Proceedings
%T PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development
%A Sil, Avi
%A Sen, Jaydeep
%A Iyer, Bhavani
%A Franz, Martin
%A Fadnis, Kshitij
%A Bornea, Mihaela
%A Rosenthal, Sara
%A McCarley, Scott
%A Zhang, Rong
%A Kumar, Vishwajeet
%A Li, Yulong
%A Sultan, Md Arafat
%A Bhat, Riyaz
%A Bross, Juergen
%A Florian, Radu
%A Roukos, Salim
%Y Bollegala, Danushka
%Y Huang, Ruihong
%Y Ritter, Alan
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F sil-etal-2023-primeqa
%X 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.
%R 10.18653/v1/2023.acl-demo.5
%U https://aclanthology.org/2023.acl-demo.5
%U https://doi.org/10.18653/v1/2023.acl-demo.5
%P 51-62
Markdown (Informal)
[PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development](https://aclanthology.org/2023.acl-demo.5) (Sil et al., ACL 2023)
ACL
- 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, and Salim Roukos. 2023. PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 51–62, Toronto, Canada. Association for Computational Linguistics.