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MedTator: a serverless annotation tool for corpus development.

Huan He1, Sunyang Fu1, Liwei Wang1

  • 1Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN 55901, USA.

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|January 4, 2022
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Summary
This summary is machine-generated.

MedTator is a new serverless tool simplifying biomedical corpus annotation. It offers an intuitive interface for document annotation, summarization, export, and adjudication, reducing the burden of complex tools.

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Area of Science:

  • Biomedical Informatics
  • Natural Language Processing

Background:

  • High-quality annotation corpora are crucial for biomedical and clinical research.
  • Existing annotation tools often present significant burdens due to complexity, installation, and integration challenges.

Purpose of the Study:

  • To present MedTator, a serverless annotation tool designed for ease of use.
  • To streamline core corpus annotation tasks for biomedical and clinical research.

Main Methods:

  • Developed a serverless annotation tool named MedTator.
  • Focused on an intuitive user interface for core annotation functionalities.
  • Included features for document annotation, corpus summarization, annotation export, and adjudication.

Main Results:

  • MedTator provides an intuitive and interactive user interface.
  • The tool focuses on essential corpus annotation steps, simplifying the process.
  • Addresses the burden associated with complex annotation software.

Conclusions:

  • MedTator offers a user-friendly solution for building high-quality biomedical annotation corpora.
  • The serverless architecture and focused features aim to reduce the barriers to entry for annotation tasks.