Publications – ProfNER Shared Task

ProfNER’s overview:

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).

URL: https://aclanthology.org/2021.smm4h-1.3/

SMM4H 2021 overview paper:

Magge, A., Klein, A., Miranda-Escalada, A., Al-Garadi, M. A., Alimova, I., Miftahutdinov, Z., … & Gonzalez, G. (2021, June). Overview of the sixth social media mining for health applications (# smm4h) shared tasks at naacl 2021. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 21-32).

URL: https://aclanthology.org/2021.smm4h-1.4/

Participants’ papers:

De Leon, F. A. L., Madabushi, H. T., & Lee, M. (2021, June). UoB at ProfNER 2021: Data Augmentation for Classification Using Machine Translation. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 115-117).
Fidalgo, D. C., Vila-Suero, D., Montes, F. A., & Cepeda, I. T. (2021, June). System description for ProfNER-SMMH: Optimized finetuning of a pretrained transformer and word vectors. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 69-73).
Ruas, P., Andrade, V., & Couto, F. M. (2021, June). Lasige-biotm at profner: Bilstm-crf and contextual spanish embeddings for named entity recognition and tweet binary classification. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 108-111).
Yaseen, U., & Langer, S. (2021). Neural text classification and stacked heterogeneous embeddings for named entity recognition in smm4h 2021. arXiv preprint arXiv:2106.05823.
Păiș, V., & Mitrofan, M. (2021, June). Assessing multiple word embeddings for named entity recognition of professions and occupations in health-related social media. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 128-130).
Murgado, A. M., Portillo, A. P., Úbeda, P. L., Martín-Valdivia, M. T., & Lopez, L. A. U. (2021, June). Identifying professions & occupations in health-related social media using natural language processing. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 141-145).
Carrasco, S. S., & Rosillo, R. C. (2021, June). Word embeddings, cosine similarity and deep learning for identification of professions & occupations in health-related social media. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 74-76).
Pachón, V., Vázquez, J. M., & Olmedo, J. L. D. (2021, June). Identification of profession & occupation in health-related social media using tweets in spanish. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 105-107).
Zhou, T., Li, Z., Gan, Z., Zhang, B., Chen, Y., Niu, K., … & Liu, S. (2021, June). Classification, extraction, and normalization: Casia_unisound team at the social media mining for health 2021 shared tasks. In Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task (pp. 77-82).