scholarly journals Real-time tagging of biomedical entities

2016 ◽  
Author(s):  
Evangelos Pafilis ◽  
Lars Juhl Jensen
Keyword(s):  
Real Time ◽  
Named Entity Recognition ◽  
Recognition System ◽  
Entity Recognition ◽  
Manual Annotation ◽  
Automatic Annotation ◽  
Web Resources ◽  
Named Entity ◽  
Bulk Processing

Automatic annotation of text is an important complement to manual annotation, because the latter is highly labor intensive. We have developed a fast dictionary-based named entity recognition system, which is used for both real-time and bulk processing of text in a variety of biomedical web resources. We propose to adapt the system to make it interoperable with the PubAnnotation and Open Annotation standards.

scholarly journals One tagger, many uses: Illustrating the power of ontologies in dictionary-based named entity recognition

2016 ◽  
Author(s):  
Lars Juhl Jensen
Keyword(s):  
Named Entity Recognition ◽  
Entity Recognition ◽  
Automatic Annotation ◽  
Biomedical Ontologies ◽  
Health Records ◽  
Pubmed Central ◽  
Named Entity ◽  
Open Biomedical Ontologies ◽  
Bulk Processing ◽  
Different Sources

AbstractAutomatic annotation of text is an important complement to manual annotation, because the latter is highly labour intensive. We have developed a fast dictionary-based named entity recognition (NER) system and addressed a wide variety of biomedical problems by applied it to text from many different sources. We have used this tagger both in real-time tools to support curation efforts and in pipelines for populating databases through bulk processing of entire Medline, the open-access subset of PubMed Central, NIH grant abstracts, FDA drug labels, electronic health records, and the Encyclopedia of Life. Despite the simplicity of the approach, it typically achieves 80–90% precision and 70–80% recall. Many of the underlying dictionaries were built from open biomedical ontologies, which further facilitate integration of the text-mining results with evidence from other sources.

scholarly journals A real time Named Entity Recognition system for Arabic text mining

2011 ◽  
Vol 46 (4) ◽  
pp. 543-563 ◽  
Author(s):  
Harith Al-Jumaily ◽  
Paloma Martínez ◽  
José L. Martínez-Fernández ◽  
Erik Van der Goot
Keyword(s):  
Text Mining ◽  
Real Time ◽  
Named Entity Recognition ◽  
Recognition System ◽  
Entity Recognition ◽  
Arabic Text ◽  
Named Entity

scholarly journals A Chinese Named Entity Recognition System with Neural Networks

2017 ◽  
Vol 12 ◽  
pp. 04002 ◽  
Author(s):  
Hui-Kang Yi ◽  
Jiu-Ming Huang ◽  
Shu-Qiang Yang
Keyword(s):  
Neural Networks ◽  
Named Entity Recognition ◽  
Recognition System ◽  
Entity Recognition ◽  
Named Entity
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