MTAP - A Distributed Framework for NLP Pipelines

Benjamin C. Knoll, Reed Mcewan, Raymond Finzel, Greg Silverman, Rui Zhang, Serguei V.S. Pakhomov, Genevieve B. Melton

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

Abstract

To facilitate the research, development, and testing process for clinical Natural Language Processing (NLP) platforms and associated solutions we have created the Microservice Text Analysis Platform (MTAP). MTAP provides a programming language agnostic, easy-to-use platform for users to create independently deployable, testable, and scalable pipeline components.

Original languageEnglish (US)
Title of host publicationProceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages537-538
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

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Natural language processing
  • libraries
  • microservices
  • software
  • tools

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