Learning adaptive representations for entity recognition in the biomedical domain

Learning adaptive representations for entity recognition in the biomedical domain

Abstract Background Named Entity Recognition is a common task in Natural Language Processing applications, whose purpose is to recognize named entities in textual documents. Several systems exist to solve this task in the biomedical domain, based on Natural Language Processing techniques and Machine...

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Bibliographic Details
Main Authors: Ivano Lauriola, Fabio Aiolli, Alberto Lavelli, Fabio Rinaldi
Format: Article
Language:English
Published: BMC 2021-05-01
Series:Journal of Biomedical Semantics
Subjects:
Named entity recognition
Neural networks
Kernel methods
Ensemble
Online Access:https://doi.org/10.1186/s13326-021-00238-0

Internet

https://doi.org/10.1186/s13326-021-00238-0

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