Named Entity Recognition and Knowledge Extraction from Pharmaceutical Texts using Transfer Learning
Nasi Jofche,Kostadin Mishev,Riste Stojanov,Milos Jovanovik,Eftim Zdravevski,Dimitar Trajanov +5 more
TLDR
In this article , a text analysis platform focused on the pharmaceutical domain is presented, which performs text classification using state-of-the-art transfer learning models based on spaCy, AllenNLP, BERT, and BioBERT.About:
This article is published in Procedia Computer Science.The article was published on 2022-01-01 and is currently open access. It has received 6 citations till now. The article focuses on the topics: Computer science & Vendor.read more
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PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning.
TL;DR: In this article, a text analysis platform focused on the pharmaceutical domain is presented, which applies deep learning through several stages for thorough semantic analysis of pharmaceutical articles, and thoroughly integrates the results obtained through a proposed methodology.
Journal ArticleDOI
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning
TL;DR: In this paper , a text analysis platform focused on the pharmaceutical domain is presented, which applies deep learning through several stages for thorough semantic analysis of pharmaceutical articles, and thoroughly integrates the results obtained through a proposed methodology.
Journal ArticleDOI
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning
TL;DR: In this article , a text analysis platform tailored to the pharmaceutical industry that uses deep learning at several stages to perform an in-depth semantic analysis of relevant publications is introduced, which is used to produce reliably labeled datasets leveraging cutting-edge transfer learning, which are later used to train models for specific entity labeling tasks.
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DD-RDL: Drug-Disease Relation Discovery and Labeling
TL;DR: In this article , the authors proposed an NLP approach for drug-disease relation discovery and labeling (DD-RDL), which employs a series of steps to analyze a corpus of abstracts of scientific biomedical research papers.
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Indonesian news classification application with named entity recognition approach
TL;DR: In this article , the authors applied NER in Indonesian language news classification using Design-Based Research whose process includes (1) pre-implementation, (2) design, (3) implementation and revision, and finally, reflection and evaluation.
References
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Proceedings Article
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