lorainemg / eHealthKD-competition

UH-MMM submission for the eHealth-KD Challange.

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UH-MMM submission for the eHealth-KD Challenge

This is the source code of our team final submission.

2021 contains the data available for the competition. This includes training, development and test data.

scripts contains the source code of the different models implemented. In ner_clsf.py the NER model is implemented and re_clsf.py contains the RE model implementation. classifier.py wraps the name entity classifier and the relation extractor classifier, the models are tested in the different scenarios and collections.

The FastText Spanish Medical Embeddings are not included for its size. They can be downloaded in https://zenodo.org/record/3744326. For the system to work, the Scielo+Wiki SkipGram Uncased should be unzipped in scripts (i.e, the bin file)

The documentation paper can be found in paper.

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UH-MMM submission for the eHealth-KD Challange.

License:MIT License


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