[Event at CIG] [CFP] - 🏃‍♂️ SocialDisNER track 🥇 : Detection of Disease Mentions in Social Media

Fri Jul 1 08:10:49 CEST 2022

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/
<https://mailtrack.io/trace/link/f4aefc41c171d42bb7ab37b1952306c3d0fdce3e?url=https%3A%2F%2Ftemu.bsc.es%2Fsocialdisner%2F&userId=8191969&signature=9c094e8abd6465eb>

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:

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   Real-time disease outbreak surveillance/monitoring
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   Characterization of patient-reported symptoms
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   Post-market drug safety
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   Epidemiology and population health,
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   Public opinion mining & sentiment analysis of diseases
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   Detection of hate speech/exclusion of sick people
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   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:

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   Web: https://temu.bsc.es/socialdisner/
   <https://mailtrack.io/trace/link/9bc9856a17132be95b8cbedbec7e0de8a69244f3?url=https%3A%2F%2Ftemu.bsc.es%2Fsocialdisner%2F&userId=8191969&signature=342a5c19fbb1cbab>

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   Data:
   <https://mailtrack.io/trace/link/89abc0a1205d78bf4f975299ebc813e5c086a065?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.6408476&userId=8191969&signature=1405b599aa9d08fe>
   https://doi.org/10.5281/zenodo.6359365
   <https://mailtrack.io/trace/link/1a16da95fbe6c18f5f715394e21e4328e31694f0?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.6359365&userId=8191969&signature=1b4093bf93813829>

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   Additional large-scale data: https://zenodo.org/record/6773099
   <https://mailtrack.io/trace/link/71cbb02be4c0932b51bf9855aad20a2d66332dff?url=https%3A%2F%2Fzenodo.org%2Frecord%2F6773099&userId=8191969&signature=c2825bdbdc074a0a>

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   Registration: https://temu.bsc.es/socialdisner/registration
   <https://mailtrack.io/trace/link/f1310af00ac7b9c3556ba0e7d7d6e7c1150a1f66?url=https%3A%2F%2Ftemu.bsc.es%2Fsocialdisner%2Fregistration&userId=8191969&signature=a0312cf96dcab90d>

Schedule

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   Development Set Release: June 14th
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   Additional large-scale corpus with disease annotations: June 28th
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   Test Set Release: July 11th
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   Participant prediction Due: July 15th
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   Test set evaluation release: July 25th
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   Proceedings paper submission: August 1st
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   Camera ready papers: September 1st
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   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/
<https://mailtrack.io/trace/link/6e6d22a92cd2e054b9c32be8fa147196729fb950?url=https%3A%2F%2Fhealthlanguageprocessing.org%2Fsmm4h-2022%2F&userId=8191969&signature=db4a01099d9dd270>

SocialDisNER Organizers

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   Luis Gascó, Barcelona Supercomputing Center, Spain
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   Darryl Estrada, Barcelona Supercomputing Center, Spain
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   Eulàlia Farré-Maduell, Barcelona Supercomputing Center, Spain
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   Salvador Lima, Barcelona Supercomputing Center, Spain
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   Martin Krallinger, Barcelona Supercomputing Center, Spain

Scientific Committee & SMM4H Organizers

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   Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center, USA
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   Davy Weissenbacher, University of Pennsylvania, USA
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   Arjun Magge, University of Pennsylvania, USA
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   Ari Z. Klein, University of Pennsylvania, USA
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   Ivan Flores, University of Pennsylvania, USA
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   Karen O’Connor, University of Pennsylvania, USA
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   Raul Rodriguez-Esteban, Roche Pharmaceuticals, Switzerland
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   Lucia Schmidt, Roche Pharmaceuticals, Switzerland
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   Juan M. Banda, Georgia State University, USA
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   çAbeed Sarker, Emory University, USA
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   Yuting Guo, Emory University, USA
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   Yao Ge, Emory University, USA
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   Elena Tutubalina, Insilico Medicine, Hong Kong
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   Jey Han Hau, The University of Melbourne (Australia)
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   Luca Maria Aiello, IT University of Copenhagen (Denmark)
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   David Camacho,  Applied Intelligence and Data Analysis Research Group,
   Universidad Politécnica de Madrid (Spain)
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   Torsten Zesch, Fernuniversitat in Hagen (Germany)
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   Eiji ARAMAKI, Nara Institute of Science and Technology (Japan)
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   Rafael Valencia-Garcia, Universidad de Murcia (Spain)
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   Antonio Jimeno Yepes, RMIT University (Australia)
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   Carlos Gómez-Rodríguez, Universidad da Coruña (Spain)
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   Anália Lourenço, Universidade de Vigo (Spain)
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   Paloma Martínez, Universidad Carlos III de Madrid (Spain)
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   Eugenio Martinez Cámara, Universidad de Granada (Spain)
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   Gema Bello Orgaz,  Applied Intelligence and Data Analysis Research
   Group, Universidad Politécnica de Madrid (Spain)
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   Juan Antonio Lossio-Ventura, National Institutes of Health (USA)
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   Héctor D. Menendez, King’s College London (UK)
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   Manuel Montes y Gómez, National Institute of Astrophysics, Optics and
   Electronics (Mexico)
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   Helena Gómez Adorno, Universidad Nacional Autónoma de México (Mexico)
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   Rodrigo Agerri, IXA Group (HiTZ Centre), University of Basque Country
   EHU (Spain)
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   Miguel A. Alonso, Universidad da Coruña (Spain)
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   Ferran Pla, Universidad Politécnica de Valencia (Spain)
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   Jose Alberto Benitez-Andrades, Universidad de Leon (Spain)

 Darryl Estrada

 Full Stack - Web Developer

* Text Mining Unit | Barcelona Supercomputing Center*