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MedTator: a serverless annotation tool for corpus development

Huan He, Sunyang Fu, Liwei Wang, Sijia Liu, Andrew Wen, Hongfang Liu

2021Bioinformatics29 citationsDOIOpen Access PDF

Abstract

SUMMARY: Building a high-quality annotation corpus requires expenditure of considerable time and expertise, particularly for biomedical and clinical research applications. Most existing annotation tools provide many advanced features to cover a variety of needs where the installation, integration and difficulty of use present a significant burden for actual annotation tasks. Here, we present MedTator, a serverless annotation tool, aiming to provide an intuitive and interactive user interface that focuses on the core steps related to corpus annotation, such as document annotation, corpus summarization, annotation export and annotation adjudication. AVAILABILITY AND IMPLEMENTATION: MedTator and its tutorial are freely available from https://ohnlp.github.io/MedTator. MedTator source code is available under the Apache 2.0 license: https://github.com/OHNLP/MedTator. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Topics & Concepts

AnnotationComputer scienceAutomatic summarizationMIT LicenseLicenseInformation retrievalVariety (cybernetics)Automatic image annotationSource codeWorld Wide WebNatural language processingArtificial intelligenceImage retrievalProgramming languageImage (mathematics)Operating systemBiomedical Text Mining and OntologiesNatural Language Processing TechniquesGenomics and Rare Diseases
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