Deadline : 0000
Bibliographie
*#SMM4H** : Social Media Mining for Health Applications Workshop & Shared
Task at ACL 2019*
Location : Florence, Italy
Date : August 2, 2019
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Last call for papers
Last call for shared task participation
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** Apologies if you received multiple copies of this CFP **
*Important links :*
Workshop : SMM4H Workshop (https://healthlanguageprocessing.org/smm4h/)
Submission link : Softconf SMM4H
(https://www.softconf.com/acl2019/smm4h/)
Shared task details : SMM4H shared task
(https://healthlanguageprocessing.org/smm4h/challenge/)
*Workshop*
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
vocabularies
- 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
datasets
2. *Shared task component :* Details about the shared task can be found
at the Shared Task Website
(https://healthlanguageprocessing.org/smm4h/challenge/). 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
(https://healthlanguageprocessing.org/smm4h/challenge/).
*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
references)
- *Extended Abstracts* may have a maximum length of 2-4 pages (plus
references)
- *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 (http://www.acl2019.org/EN/call-for-papers.xhtml)
All submissions must be through Softconf. Submission link : Softconf
SMM4H (https://www.softconf.com/acl2019/smm4h/)
*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