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Social Media Mining for Health Applications Workshop & Shared

Deadline : 0000


*#SMM4H** : Social Media Mining for Health Applications Workshop & Shared
Task at ACL 2019*

Location : Florence, Italy

Date : August 2, 2019


Last call for papers

Last call for shared task participation


** Apologies if you received multiple copies of this CFP **

*Important links :*

Workshop : SMM4H Workshop (

Submission link : Softconf SMM4H

Shared task details : SMM4H shared task


This workshop aims to provide a forum for the ACL community members to
present and discuss NLP advances specific to social media use in the
particularly challenging area of health-related research and
applications, following on the success of the third iteration of #SMM4H
at EMNLP in 2018. The workshop seeks to attract researchers interested
in novel automatic approaches for the large-scale collection,
extraction, representation, analysis, and validation of social media
data for monitoring and surveillance.

The workshop will include two components—a standard workshop and a
shared task :

1. *Workshop/research forum component :* For this component, we invite
extended abstracts of 2-4 pages (not including references) and paper
submissions of 4-8 pages (not including references) in standard ACL
format. Please see submission guidelines below. 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
- Deriving health-related trends from social media
- Information retrieval methods for obtaining and classifying 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 and disease progression studies using social media
- Sentinel event detection using social media
- Semantic methods in social media analysis relevant to health research
- Classifying health-related messages in social media
- Cohort identification from publicly available social media data
- Automatic analysis of social media messages for disease surveillance
and patient education
- Methods for validation of social-media derived hypothesis and

2. *Shared task component :* Details about the shared task can be found
at the Shared Task Website
( Best
performing teams will be invited to submit system description papers
at the workshop.

*Important dates*

Paper submission deadline : April 26, 2019

Notification of acceptance : May 24, 2019

Camera-ready version due : June 3, 2019

Workshop date : August 2, 2019

The shared tasks will follow a different schedule, as explained in the
shared task website

*Submission Guidelines*

All workshop papers must be original and not simultaneously submitted to
another journal or conference. All papers focusing on natural language
processing of social media texts for health-related tasks are welcome.

- *Full papers* must have a maximum length of 4-8 pages (plus
- *Extended Abstracts* may have a maximum length of 2-4 pages (plus
- *System Descriptions *(shared task participants only) may have a
maximum of 2 pages (plus references). Accepted system descriptions
will also be included in the workshop proceedings.

Please follow the standard submission guidelines of ACL 2019 available
here : ACL calls (

All submissions must be through Softconf. Submission link : Softconf

*Organizing Committee*

- *Chair - Graciela Gonzalez-Hernandez*, University of Pennsylvania
- *Co-chair - Davy Weissenbacher*, University of Pennsylvania
- *Michael Paul*, University of Colorado-Boulder
- *Abeed Sarker*, University of Pennsylvania
- *Ari Klein*, University of Pennsylvania
- *Ashlynn Daughton*, University of Colorado-Boulder
- *Karen O’Connor*, University of Pennsylvania

*Program Committee*

- *Nigel Collier*, University of Cambridge, UK
- *Hongfang Liu*, Mayo Clinic Rochester, USA
- *Pierre Zweigenbaum*, French National Center for Scientific
Research, France
- *Cecile Paris*, CSIRO, Australia
- *Kirk Roberts*, University of Texas Houston, USA
- *Robert Leaman*, US National Library of Medicine, USA
- *Azadeh Nikfarjam*, Nuance Communication, USA
- *Ehsan Emazadeh*, Google Inc., USA

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