Evaluation Library
- Official evaluation library: See it on GitHub.
Linguistic Resources
- CUTEXT. See it on GitHub.
Medical term extraction tool.
It can be used to extract relevant medical terms from tweets. - SPACCC POS Tagger. See it on GitHub.
Part Of Speech Tagger for Spanish medical domain corpus.
It can be used as a component of your system. - NegEx-MES. See it on Zenodo and on GitHub.
A system for negation detection in Spanish clinical texts based on NegEx algorithm.
It can be used as a component of your system. - AbreMES-X. See it on Zenodo.
Software used to generate the Spanish Medical Abbreviation DataBase. - AbreMES-DB. See it on Zenodo.
Spanish Medical Abbreviation DataBase.
It can be used to fine-tune your system. - MeSpEn Glossaries. See it on Zenodo.
Repository of bilingual medical glossaries made by professional translators.
It can be used to fine-tune your system. - Occupations gazetteer. See it on Zenodo.
A gazetter of occupations extracted from a set of terminologies (DeCS, ESCO, SnomedCT and WordNet) and Stanford CoreNLP.
Word embeddings
- FastText Spanish medical embeddings. See them on Zenodo.
Word and subword embeddings trained for medical Spanish domain.
It can be used as a component of your system.
Natural Language Processing Libraries
- SpaCy. Python library for NLP with pre-trained models in Spanish.
- NLTK. Python toolkit for NLP with a suite of text processing libraries.