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Published on: May 9, 2017
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.
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.
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