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Microsoft Biomedical Search

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature (KDD 2021)

[Paper]

Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon (Equal Contribution)

As a response to the COVID-19 pandemic, Microsoft Research provided Microsoft Biomedical Search, and AI-powered search tool to help researchers and scientists identify relevant publications available from PubMed and the COVID-19 Open Research Dataset (CORD-19). This tool was provided on a short-term basis for public benefit and was deprecated on September 1, 2023.

This repository serves as a resource for those looking to find the paper describing this system. For additional questions, please reach out to biomedsearchfeedback@microsoft.com.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.

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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

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