Introducing MedCATTrainer, an Output from Our HDR UK National Text Analytics Project

[vc_row css=”.vc_custom_1534417852260{padding-bottom: 30px !important;}”][vc_column][vc_column_text]Tom Searle and Zeljko Kraljevic have developed MedCATTrainer, an interface for building, improving and customising a given Named Entity Recognition and Linking (NER+L) model for biomedical domain text. MedCATTrainer offers an interactive web-interface to inspect and improve recognised entities from an underlying NER+L model via active learning.
MedCATTrainer is an output from our Health Data Research UK (HDR UK) National Text Analytics Project project lead by Professor Richard Dobson and Dr Angus Roberts.[/vc_column_text][vc_column_text]

[/vc_column_text][/vc_column][/vc_row][vc_row css=”.vc_custom_1534419916692{padding-bottom: 5px !important;}”][vc_column][vc_column_text]Tom Searle also uploaded a video to YouTube highlighted MedCATTrainer submission process.[/vc_column_text][vc_video link=”https://www.youtube.com/watch?v=lM914DQjvSo”][/vc_column][/vc_row][vc_row css=”.vc_custom_1534419916692{padding-bottom: 5px !important;}”][vc_column][vc_column_text]Read full paper here.[/vc_column_text][vc_column_text]Photo credit: Pixabay/Pexel.[/vc_column_text][/vc_column][/vc_row]

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