AI4PROFHEALTH Profession and occupations gazetteer (ProfNER & MEDDOPROF - occupations, professions and working status terms with their associated codes)

Gazetteer of occupations extracted from a set of terminologies (DeCS, ESCO, SnomedCT and WordNet). In addition, we include in the gazetteer a list of occupations detected by Stanford CoreNLP in a large collection of social media profiles. For every term, we include its lemma. The lemma was extracted using the PlanTL Med_Tagger: https://github.com/PlanTL-SANIDAD/SPACCC_POS-TAGGER

Please, cite:

Miranda-Escalada, A., Farré-Maduell, E., Lima-López, S., Gascó, L., Briva-Iglesias, V., Agüero-Torales, M., & Krallinger, M. (2021, June). The profner shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 13-20).

@inproceedings{miranda2021profner,
title={The profner shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora},
author={Miranda-Escalada, Antonio and Farr{\'e}-Maduell, Eul{\`a}lia and Lima-L{\'o}pez, Salvador and Gasc{\'o}, Luis and Briva-Iglesias, Vicent and Ag{\"u}ero-Torales, Marvin and Krallinger, Martin},
booktitle={Proceedings of the Sixth Social Media Mining for Health (\# SMM4H) Workshop and Shared Task},
pages={13--20},
year={2021}
}

For further information, please visit https://temu.bsc.es/smm4h-spanish/ or email us at [e-mail] 

Resources:

Web

Gold Standard 

Annotation guidelines (in Spanish)

Annotation guidelines (in English)

FastText COVID-19 Twitter embeddings

Conference Proceedings