Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition

Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition

Abstract Background This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance. Consecutive clinical entities in a sentence are usually separated from each other, and t...

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Bibliographic Details
Main Authors: Wangjin Lee, Jinwook Choi
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Clinical named entity recognition
Conditional random fields
High-order dependency
Clinical natural language processing
Induction method
Online Access:http://link.springer.com/article/10.1186/s12911-019-0865-1

Internet

http://link.springer.com/article/10.1186/s12911-019-0865-1

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