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ProfNER guidelines - Spanish version

Farré-Maduell, Eulàlia; Lima López, Salvador; Briva-Iglesias, Vicent; Aguero, Marvin; Miranda-Escalada, Antonio; Krallinger, Martin

SMM4H 2021 accepted at NAACL (scheduled in Mexico City in June) https://2021.naacl.org/.

The ProfNER Shared Task encourages its participants to detect occupations and employment situations in Spanish tweets related to the COVID-19 situation. These guidelines describe the process followed by the clinical and linguist experts who manually annotated the ProfNER corpus. An English translation of the guidelines is here

 

 

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}
}

 

Annotation quality:

We have performed a consistency analysis of the corpus. 10% of the documents have been annotated by an internal annotator as well as by the linguist experts following these annotation guidelines.

The preliminary Inter-Annotator Agreement (pairwise agreement) is 0.919.

 

Please, cite:

Antonio Miranda-Escalada, Eulàlia Farré-Maduell, Salvador Lima-López, Luis Gascó, Vicent Briva-Iglesias, Marvin Agüero-Torales and Martin Krallinger, 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 Applications Workshop & Shared Task

 

For further information, please visit https://temu.bsc.es/smm4h-spanish/ or email us at encargo-pln-life@bsc.es

 

Resources:

Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).
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