CLARA-MeD project applies automatic natural language processing methods to enhance the accessibility of health information. \n
One of the approaches is term simplification; i.e. substituting a difficult-to-read word (e.g. amigdalectomía ) with an easier or more explicative paraphrase (e.g. operación de anginas ).
\n
The CLARA-MeD repository includes the following work:
\n
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AI & ML interests
Natural language processing for automatic text simplification of medical texts
Team members
3
The CLARA-MeD project applies automatic natural language processing methods to enhance the accessibility of health information.
One of the approaches is term simplification; i.e. substituting a difficult-to-read word (e.g. amigdalectomía ) with an easier or more explicative paraphrase (e.g. operación de anginas ).
The CLARA-MeD repository includes the following work:
A parallel corpus of technical-patient aligned sentences, extracted from the CLARA-MeD comparable corpus of technical and laymen documents.
Models used in experiments to compare simplification approaches based on state-of-the-art neural-network algorithms.