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SMM4H 2021 : 6th Social Media Mining for Health (SMM4H) Workshop at NAACL 2021

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Link: https://healthlanguageprocessing.org/smm4h-2021/
 
When Jun 10, 2021 - Jun 10, 2021
Where Mexico City, Mexico and Online
Submission Deadline Mar 15, 2021
Categories    NLP   machine learning   artificial intelligence   social media
 

Call For Papers

The Social Media Mining for Health Applications (#SMM4H) workshop serves as a venue for bringing together researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data (e.g., Twitter, Facebook) for health informatics. The 6th #SMM4H Workshop, co-located at NAACL 2021 (https://2021.naacl.org/), invites the submission of papers on original, unpublished research in all aspects at the intersection of social media mining and health. Topics of interest include, but are not limited to:

Methods for the automatic detection and extraction of health-related concept mentions in social media
Mapping of health-related mentions in social media to standardized vocabularies
Deriving health-related trends from social media
Information retrieval methods for obtaining relevant social media data
Geographic or demographic data inference from social media discourse
Virus spread monitoring using social media
Mining health-related discussions in social media
Drug abuse and alcoholism incidence monitoring through social media
Disease incidence studies using social media
Sentinel event detection using social media
Semantic methods in social media analysis
Classifying health-related messages in social media
Automatic analysis of social media messages for disease surveillance and patient education
Methods for validation of social media-derived hypotheses and datasets

Important Dates:
Workshop papers due : Mar 15
Acceptance notification : Apr 1
Camera ready paper : Apr 12

* All deadlines are 11:59 PM UTC (“anywhere on Earth”).

Paper Submission and Presentation Information:
Paper submissions may consist of up to 4 pages, plus unlimited references, and must describe completed, original, and unpublished work. Papers may make small, focused contributions, but the work must be completed; we will not accept papers describing work-in-progress. We also will not accept papers that overlap significantly with papers that have been or will be published elsewhere, or are currently under consideration for other venues. All accepted papers are required to be presented orally or as a poster, as determined by the program committee, in order to be included in the workshop proceedings. At least one author of each accepted paper must register for #SMM4H 2021 to present. All paper submissions must follow the NAACL-HLT 2021 guidelines (https://2021.naacl.org/calls/style-and-formatting/) and be submitted as a PDF using the Softconf START Conference Manager (https://www.softconf.com/naacl2021/smm4h2021/).

Shared Tasks:
The workshop organizers this year are hosting eight shared tasks i.e. NLP challenges as part of the workshop. Participating teams will be provided with a set of annotated tweets for developing systems, followed by a three-day window during which they will run their systems on unlabeled test data and upload it to Codalab for evaluation. For additional details about the tasks and information about registration, data access, paper submissions, and presentations, go to https://healthlanguageprocessing.org/smm4h-shared-task-2021/

Organizers:
Graciela Gonzalez-Hernandez, University of Pennsylvania, USA
Arjun Magge, University of Pennsylvania, USA
Davy Weissenbacher, University of Pennsylvania, USA
Ari Z. Klein, University of Pennsylvania, USA
Karen O’Connor, University of Pennsylvania, USA
Abeed Sarker, Emory University, USA
Mohammed Ali Al-Garadi, Emory University, USA
Elena Tutubalina, Kazan Federal University, Russia
Zulfat Miftahutdinov, Kazan Federal University, Russia
Ilsear Alimova, Kazan Federal University, Russia
Martin Krallinger, Barcelona Supercomputing Center, Spain
Juan Banda, Georgia State University, USA

Contact Information:
Arjun Magge(Arjun.Magge@pennmedicine.upenn.edu)

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