SocialDisNER Guidelines: detection of disease mentions in spanish social media content

Please, cite us:

Luis Gasco Sánchez, Darryl Estrada Zavala, Eulàlia Farré-Maduell, Salvador Lima-López, Antonio Miranda-Escalada, and Martin Krallinger. 2022. The SocialDisNER shared task on detection of disease mentions in health-relevant content from social media: methods, evaluation, guidelines and corpora. In Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, pages 182–189, Gyeongju, Republic of Korea. Association for Computational Linguistics.

@inproceedings{gasco2022socialdisner,
  title = "The {S}ocial{D}is{NER} shared task on detection of disease mentions in health-relevant content from social media: methods, evaluation, guidelines and corpora",
    author = "Gasco S{\'a}nchez, Luis  and
      Estrada Zavala, Darryl  and
      Farr{\'e}-Maduell, Eul{\`a}lia  and
      Lima-L{\'o}pez, Salvador  and
      Miranda-Escalada, Antonio  and
      Krallinger, Martin",
    booktitle = "Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop {\&} Shared Task",
    month = oct,
    year = "2022",
    address = "Gyeongju, Republic of Korea",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.smm4h-1.48",
    pages = "182--189"
}

SocialDisNER Annotation Guidelines:

These guidelines describe the annotation and standardization process of the SocialDisNER corpus, a collection of 9,500 tweets written in Spanish by  patients and medical professionals annotated with disease mentions. 

SocialDisNER resources:

• Web
• SocialDisNER Corpora

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