MedTator: A Serverless Web-based Tool for Corpus Annotation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Annotation tools play an important role in building high-quality annotation corpus. Although existing text annotation tools may provide many features to meet different needs for text annotation, an easy-to-install tool for annotating clinical narrative documents is still demanded. In response, we developed MedTator, a serverless web-based tool for corpus annotation.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages530-531
Number of pages2
ISBN (Electronic)9781665468459
DOIs
StatePublished - 2022
Event10th IEEE International Conference on Healthcare Informatics, ICHI 2022 - Rochester, United States
Duration: Jun 11 2022Jun 14 2022

Publication series

NameProceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022

Conference

Conference10th IEEE International Conference on Healthcare Informatics, ICHI 2022
Country/TerritoryUnited States
CityRochester
Period6/11/226/14/22

Keywords

  • corpus development
  • natural language processing
  • text annotation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Health Informatics

Fingerprint

Dive into the research topics of 'MedTator: A Serverless Web-based Tool for Corpus Annotation'. Together they form a unique fingerprint.

Cite this