[CFP] - 🏃♂️ SocialDisNER track 🥇 : Detection of Disease Mentions in Social Media
Darryl Estrada
Apologies for cross-posting
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*** 2nd CFP- SocialDisNER track: Detection of Disease Mentions in Social Media ***
(SMM4H Shared Task at COLING2022)
https://temu.bsc.es/socialdisner/
Development set, large-scale silver standard, and disease-comoborbility network are now available
Despite the high impact & practical relevance of detecting diseases automatically from social media for a diversity of applications, few manually annotated corpora generated by healthcare practitioners to train/evaluate advanced entity recognition tools are currently available.
Developing disease recognition tools for social media is critical for:
Real-time disease outbreak surveillance/monitoring
Characterization of patient-reported symptoms
Post-market drug safety
Epidemiology and population health,
Public opinion mining & sentiment analysis of diseases
Detection of hate speech/exclusion of sick people
Prevalence of work-associated diseases
SocialDisNER is the first track focusing on the detection of disease mentions in tweets written in Spanish, with clear adaptation potential not only to English but also other romance languages like Portuguese, French or Italian spoken by over 900 million people worldwide.
For this track the SocialDisNER corpus was generated, a manual collection of tweets enriched for first-hand experiences by patients and their relatives as well as content generated by patient-associations (national, regional, local) as well as healthcare institutions covering all main diseases types including cancer, mental health, chronic and rare diseases among others.
As a novelty, we have published a large-scale additional corpus of +85k tweets annotated with diseases, in addition to a disease gazzetter extracted from medical terminologies and a disease-comoborbility network extracted from the large-scale additional corpus.
Info:
Additional large-scale data: https://zenodo.org/record/6773099
Registration: https://temu.bsc.es/socialdisner/registration
Schedule
Development Set Release: June 14th
Additional large-scale corpus with disease annotations: June 28th
Test Set Release: July 11th
Participant prediction Due: July 15th
Test set evaluation release: July 25th
Proceedings paper submission: August 1st
Camera ready papers: September 1st
SMM4H workshop @ COLING 2022: October 12-17
Publications and SMM4H (COLING 2022) workshop
Participating teams have the opportunity to submit a short system description paper for the SMM4H proceedings (7th SMM4H Workshop, co-located at COLING 2022). More details are available at https://healthlanguageprocessing.org/smm4h-2022/
SocialDisNER Organizers
Luis Gascó, Barcelona Supercomputing Center, Spain
Darryl Estrada, Barcelona Supercomputing Center, Spain
Eulàlia Farré-Maduell, Barcelona Supercomputing Center, Spain
Salvador Lima, Barcelona Supercomputing Center, Spain
Martin Krallinger, Barcelona Supercomputing Center, Spain
Scientific Committee & SMM4H Organizers
Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center, USA
Davy Weissenbacher, University of Pennsylvania, USA
Arjun Magge, University of Pennsylvania, USA
Ari Z. Klein, University of Pennsylvania, USA
Ivan Flores, University of Pennsylvania, USA
Karen O’Connor, University of Pennsylvania, USA
Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland
Lucia Schmidt, Roche Pharmaceuticals, Switzerland
Juan M. Banda, Georgia State University, USA
çAbeed Sarker, Emory University, USA
Yuting Guo, Emory University, USA
Yao Ge, Emory University, USA
Elena Tutubalina, Insilico Medicine, Hong Kong
Jey Han Hau, The University of Melbourne (Australia)
Luca Maria Aiello, IT University of Copenhagen (Denmark)
David Camacho, Applied Intelligence and Data Analysis Research Group, Universidad Politécnica de Madrid (Spain)
Torsten Zesch, Fernuniversitat in Hagen (Germany)
Eiji ARAMAKI, Nara Institute of Science and Technology (Japan)
Rafael Valencia-Garcia, Universidad de Murcia (Spain)
Antonio Jimeno Yepes, RMIT University (Australia)
Carlos Gómez-Rodríguez, Universidad da Coruña (Spain)
Anália Lourenço, Universidade de Vigo (Spain)
Paloma Martínez, Universidad Carlos III de Madrid (Spain)
Eugenio Martinez Cámara, Universidad de Granada (Spain)
Gema Bello Orgaz, Applied Intelligence and Data Analysis Research Group, Universidad Politécnica de Madrid (Spain)
Juan Antonio Lossio-Ventura, National Institutes of Health (USA)
Héctor D. Menendez, King’s College London (UK)
Manuel Montes y Gómez, National Institute of Astrophysics, Optics and Electronics (Mexico)
Helena Gómez Adorno, Universidad Nacional Autónoma de México (Mexico)
Rodrigo Agerri, IXA Group (HiTZ Centre), University of Basque Country EHU (Spain)
Miguel A. Alonso, Universidad da Coruña (Spain)
Ferran Pla, Universidad Politécnica de Valencia (Spain)
Jose Alberto Benitez-Andrades, Universidad de Leon (Spain)
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