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| CrossRef Text and Data Mining |
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| PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts |
| Jordi Armengol-Estapé, Felipe Soares, Montserrat Marimon, Martin Krallinger |
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Genomics Inform. 2019;17(2):e15 Published online June 19, 2019 DOI: https://doi.org/10.5808/GI.2019.17.2.e15 |
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PharmacoNER Tagger: a deep learning-based tool for automatically finding chemicals and drugs in Spanish medical texts Genomics & Informatics. 2019;17(2):e15  Finding Circles with Deep Learning Practical MATLAB Deep Learning. 2020;43-63 Finding Circles with Deep Learning Practical MATLAB Deep Learning. 2022;41-61 Deep learning with language models improves named entity recognition for PharmaCoNER BMC Bioinformatics. 2021;22(S1): Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity Deep Learners and Deep Learner Descriptors for Medical Applications. 2020;9-93 A Deep-Learning Based Solution to Automatically Control Closure and Seal of Pizza Packages IEEE Access. 2021;9:167267-167281 Automatically disambiguating medical acronyms with ontology-aware deep learning Nature Communications. 2021;12(1): A deep learning based Part-of-Speech (POS) tagger for Sanskrit language by embedding character level features Proceedings of the 10th annual meeting of the Forum for Information Retrieval Evaluation. 2018; Implementation of Automated Bengali Parts of Speech Tagger: An Approach Using Deep Learning Algorithm 2020 IEEE Region 10 Symposium (TENSYMP). 2020; Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach PeerJ Computer Science. 2022;8:e913 |
