Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set-Reference-Cited by-同舟云学术

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Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set

Published:2020-12 Issue: Volume:97 Page:106779
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Catelli Rosario^ORCID,Gargiulo Francesco^ORCID,Casola Valentina,De Pietro Giuseppe^ORCID,Fujita Hamido^ORCID,Esposito Massimo^ORCID

Publisher

Elsevier BV

Subject

Software

Reference95 articles.

1. Forecasting of COVID19 per regions using ARIMA models and polynomial functions;Hernandez-Matamoros;Appl. Soft Comput.,2020

2. Using deep learning to support high-quality Covid-19 evidence mapping;Røst,2020

3. De-identification in natural language processing;Vincze,2014

4. Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/uthealth corpus;Stubbs;J. Biomed. Inform.,2015

5. A survey of named entity recognition and classification;Nadeau;Lingvist. Investig.,2007

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