Project

Goal

Participants

Publications

Demos

Resources and Tools

References

intranet

 

    Demos

      UPV/EHU

    • Text2Med

      This is the last version of the prototype. Entity and ADR detection is based on neural networks.



    • Freeling-Med2OpenBrat

    • This tool allows to analyze clinical documents written in Spanish, giving the following as a result: recognition of entities in the medical domain, like drugs (including brand drug names, substances and active principles) and diseases. It's based on Freeling (http://nlp.lsi.upc.edu/freeling/node/30). For example:

      If you would like to test your own texts, please click here

    • ADR2OpenBrat

    • This tool allows to analyze clinical documents written in Spanish, giving Adverse Drug Reactions (ADRs), where a drug produces a disease. It uses Freeling-Med's entity recognition system. For example:



      If you would like to test your own texts, please click here

Highlights



IXA Group - EHU-UPV

Mitxelena Award for PhD theses 2018 to Olatz Perez-de-Viņaspre: Automatic medical term generation 2019-May-24

Eneko Agirre awarded by Google Research 2019-May-24

PhD Thesis: Computational Model for Semantic Textual Similarity (I. San Vicente, 2019/03/11) 2019-Mar-12

Seminar: Irish Machine Translation and Resources (M. Dowling, 2019-03-11) 2019-Mar-11

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