Juergen Bross
2023
PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development
Avi Sil
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Jaydeep Sen
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Bhavani Iyer
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Martin Franz
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Kshitij Fadnis
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Mihaela Bornea
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Sara Rosenthal
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Scott McCarley
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Rong Zhang
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Vishwajeet Kumar
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Yulong Li
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Md Arafat Sultan
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Riyaz Bhat
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Juergen Bross
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Radu Florian
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Salim Roukos
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
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.
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Co-authors
- Avirup Sil 1
- Jaydeep Sen 1
- Bhavani Iyer 1
- Martin Franz 1
- Kshitij Fadnis 1
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