C-Norm: a neural approach to few-shot entity normalization

C-Norm: a neural approach to few-shot entity normalization

Abstract Background Entity normalization is an important information extraction task which has gained renewed attention in the last decade, particularly in the biomedical and life science domains. In these domains, and more generally in all specialized domains, this task is still challenging for the...

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Bibliographic Details
Main Authors: Arnaud Ferré, Louise Deléger, Robert Bossy, Pierre Zweigenbaum, Claire Nédellec
Format: Article
Language:English
Published: BMC 2020-12-01
Series:BMC Bioinformatics
Subjects:
Entity normalization
Neural networks
Ontology
Few-shot learning
Vector space model
Online Access:https://doi.org/10.1186/s12859-020-03886-8

Internet

https://doi.org/10.1186/s12859-020-03886-8

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