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https://doi.org/10.5281/zenodo.4306016

ProfNER guidelines - Spanish version

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 [email protected]   Resources: Web Gold Standard corpus Annotation Guidelines (in English) FastText COVID-19 Twitter embeddings Occupations gazetteer Conference Proceedings



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ProfNER guidelines - Spanish version

https://doi.org/10.5281/zenodo.4306016

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 [email protected]   Resources: Web Gold Standard corpus Annotation Guidelines (in English) FastText COVID-19 Twitter embeddings Occupations gazetteer Conference Proceedings



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https://doi.org/10.5281/zenodo.4306016

ProfNER guidelines - Spanish version

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 [email protected]   Resources: Web Gold Standard corpus Annotation Guidelines (in English) FastText COVID-19 Twitter embeddings Occupations gazetteer Conference Proceedings

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      ProfNER guidelines - Spanish version
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      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 [email protected]   Resources: Web Gold Standard corpus Annotation Guidelines (in English) FastText COVID-19 Twitter embeddings Occupations gazetteer Conference Proceedings
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      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 [email protected]   Resources: Web Gold Standard corpus Annotation Guidelines (in English) FastText COVID-19 Twitter embeddings Occupations gazetteer Conference Proceedings
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