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.
翻译:问题解答(QA)领域近年来取得了显著进展,因为出现了大型的预先培训语言模型、更新颖、更现实的、带领头板的基准数据集,以及检索者和读者等关键组成部分的新算法。在本文件中,我们引入了PRIMEQA:一个一站式和开放源码的质量解答(PRIMEQA):一个一站式的、开放源码的质量解答(QA)存储库,目的是实现质量解答(SOTA)的再研究民主化,便利最先进的质量解答(QA)方法的简单复制。 PRIMEQA支持核心质量解析功能,如检索和阅读理解,以及问题生成等辅助能力。它被设计为各种使用案例的端到端工具包:建立前端应用程序,复制普通基准的SOTA方法,扩大原有方法。 PRIMEQA可在以下网址查阅:https://github.com/primeqa。