PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts
Automatically detecting mentions of pharmaceutical drugs and chemical substances is key for the subsequent extraction of relations of chemicals with other biomedical entities such as genes, proteins, diseases, adverse reactions or symptoms. The identification of drug mentions is also a prior step fo...
Saved in:
Main Authors: | Jordi Armengol-Estapé, Felipe Soares, Montserrat Marimon, Martin Krallinger |
---|---|
Format: | Article |
Language: | English |
Published: |
BioMed Central
2019-06-01
|
Series: | Genomics & Informatics |
Subjects: | |
Online Access: | http://genominfo.org/upload/pdf/gi-2019-17-2-e15.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Stagger: an Open-Source Part of Speech Tagger for Swedish
by: Robert Östling
Published: (2013-09-01) -
Causality and Subjectivity in Spanish Connectives: Exploring the Use of Automatic Subjectivity Analyses in Various Text Types
by: Andrea Santana, et al.
Published: (2017-09-01) -
POS Tagging Bahasa Madura dengan Menggunakan Algoritma Brill Tagger
by: Nindian Puspa Dewi, et al.
Published: (2020-12-01) -
SciBabel: a system for crowd-sourced validation of automatic translations of scientific texts
by: Felipe Soares, et al.
Published: (2020-06-01) -
The Switchover: Teaching and Learning the Text Encoding Initiative in Spanish
by: Susanna Allés-Torrent, et al.
Published: (2020-05-01)