ML · NLP
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eHealth-KD Challenge 2021
5th-place submission for the eHealth-KD Challenge at IberLEF 2021 by the UH-MMM team. Neural models for Named Entity Recognition and Relation Extraction in Spanish medical text.
Where I've used it:
5th-place submission for the eHealth-KD Challenge at IberLEF 2021 by the UH-MMM team. Neural models for Named Entity Recognition and Relation Extraction in Spanish medical text.
An NLP system that detects negation in Spanish text: it finds the words that express negation and works out which parts of the sentence they affect.
A search engine built from scratch on the vector space model: documents and queries become weighted vectors, ranked by similarity, with clustering, a web crawler, and evaluation on standard test collections.