Work

Using synthetic clinical data to train an HMM-based POS tagger

Year: 2016

Type: conference-paper

Source: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...)

DOI: 10.1109/bhi.2016.7455882

Authors: Benjamin C. Knoll, Genevieve B. Melton, Hongfang Liu, Hua Xu, Serguei V. S. Pakhomov

Institutions: University of Minnesota, Mayo Clinic, The University of Texas Health Science Center at Houston

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: University of Pennsylvania

OpenAlex ID: W2343478324

FWCI: 0.178

Cites: 18

Cited by: 5

Related to: 10