A neural network multi-task learning approach to biomedical named entity recognition

A neural network multi-task learning approach to biomedical named entity recognition

Abstract Background Named Entity Recognition (NER) is a key task in biomedical text mining. Accurate NER systems require task-specific, manually-annotated datasets, which are expensive to develop and thus limited in size. Since such datasets contain related but different information, an interesting...

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Bibliographic Details
Main Authors: Gamal Crichton, Sampo Pyysalo, Billy Chiu, Anna Korhonen
Format: Article
Language:English
Published: BMC 2017-08-01
Series:BMC Bioinformatics
Subjects:
Multi-task learning
Convolutional neural networks
Named entity recognition
Biomedical text mining
Online Access:http://link.springer.com/article/10.1186/s12859-017-1776-8

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http://link.springer.com/article/10.1186/s12859-017-1776-8

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