Classification of Natural Language Semantic Relations under Deep Learning

2020 ◽  
Author(s):  
Xiaofang Liao ◽  
Zijiang Zhu
Keyword(s):  
Deep Learning ◽  
Natural Language ◽  
Semantic Relations ◽  
Natural Language Semantic

scholarly journals Development of a Natural Language Processing Algorithm for the Classification of Suspicious Liver Lesions from Radiology Reports

2021 ◽  
Author(s):  
Jacob Johnson ◽  
Kaneel Senevirathne ◽  
Lawrence Ngo
Keyword(s):  
Deep Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Processing Algorithm ◽  
Liver Lesions ◽  
Radiology Reports ◽  
Natural Language Processing Algorithm

Here, we developed and validated a highly generalizable natural language processing algorithm based on deep-learning. Our algorithm was trained and tested on a highly diverse dataset from over 2,000 hospital sites and 500 radiologists. The resulting algorithm achieved an AUROC of 0.96 for the presence or absence of liver lesions while achieving a specificity of 0.99 and a sensitivity of 0.6.

Classification of operational activities described in daily drilling reports, using natural language processing and deep learning

2020 ◽  
Vol 20 (2020) ◽  
pp. 398-399
Author(s):  
Carina da Cruz Teixeira ◽  
Toni Tiago da Silva Pacheco ◽  
Dilza de Mattos Szwarcman ◽  
Mariana Souza De Oliveira
Keyword(s):  
Deep Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Operational Activities

Comparison of deep learning models for natural language processing-based classification of non-English head CT reports

2020 ◽  
Vol 62 (10) ◽  
pp. 1247-1256 ◽  
Author(s):  
Yiftach Barash ◽  
Gennadiy Guralnik ◽  
Noam Tau ◽  
Shelly Soffer ◽  
Tal Levy ◽  
...  
Keyword(s):  
Deep Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Learning Models ◽  
Head Ct

Fast Neural Network Engine for Natural Science Language Processing: A Drug-Search Case.

2020 ◽  
Author(s):  
Vadim V. Korolev ◽  
Artem Mitrofanov ◽  
Kirill Karpov ◽  
Valery Tkachenko
Keyword(s):  
Neural Network ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Natural Science ◽  
Therapeutic Agent ◽  
Semantic Relations ◽  
Chemical Data ◽  
Processing Methods ◽  
Modern Natural

The main advantage of modern natural language processing methods is a possibility to turn an amorphous human-readable task into a strict mathematic form. That allows to extract chemical data and insights from articles and to find new semantic relations. We propose a universal engine for processing chemical and biological texts. We successfully tested it on various use-cases and applied to a case of searching a therapeutic agent for a COVID-19 disease by analyzing PubMed archive.

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