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

doi:10.1109/ICHI54592.2022.00102

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 proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	537-538
Number of pages	2
ISBN (Electronic)	9781665468459
DOIs	https://doi.org/10.1109/ICHI54592.2022.00102
State	Published - 2022
Event	10th IEEE International Conference on Healthcare Informatics, ICHI 2022 - Rochester, United States Duration: Jun 11 2022 → Jun 14 2022

Publication series

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

Conference

Conference	10th IEEE International Conference on Healthcare Informatics, ICHI 2022
Country/Territory	United States
City	Rochester
Period	6/11/22 → 6/14/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

Natural language processing
libraries
microservices
software
tools

Publisher link

10.1109/ICHI54592.2022.00102

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Knoll, B. C., Mcewan, R., Finzel, R., Silverman, G., Zhang, R., Pakhomov, S. V. S., & Melton, G. B. (2022). MTAP - A Distributed Framework for NLP Pipelines. In Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022 (pp. 537-538). (Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI54592.2022.00102

MTAP - A Distributed Framework for NLP Pipelines. / Knoll, Benjamin C.; Mcewan, Reed; Finzel, Raymond et al.
Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 537-538 (Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Knoll, BC, Mcewan, R, Finzel, R, Silverman, G, Zhang, R , Pakhomov, SVS & Melton, GB 2022, MTAP - A Distributed Framework for NLP Pipelines. in Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022. Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022, Institute of Electrical and Electronics Engineers Inc., pp. 537-538, 10th IEEE International Conference on Healthcare Informatics, ICHI 2022, Rochester, United States, 6/11/22. https://doi.org/10.1109/ICHI54592.2022.00102

Knoll BC, Mcewan R, Finzel R, Silverman G, Zhang R , Pakhomov SVS et al. MTAP - A Distributed Framework for NLP Pipelines. In Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 537-538. (Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022). doi: 10.1109/ICHI54592.2022.00102

Knoll, Benjamin C. ; Mcewan, Reed ; Finzel, Raymond et al. / MTAP - A Distributed Framework for NLP Pipelines. Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 537-538 (Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022).

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MTAP - A Distributed Framework for NLP Pipelines

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