SMM4H: 2nd Social Media Mining for Health Applications
Workshop & Shared Task at AMIA 2017
Location: Washington
D.C., USA
Date: November 4,
2017
=============================
First call for papers
First call for shared
task participation
=============================
*Apologies if you received multiple copies of this CFP*
Important
links:
CFP: https://easychair.org/cfp/smmhawst17
Shared
task details: https://healthlanguageprocessing.org/sharedtask2/
This workshop
and shared task follows the successful implementation of Social Media Mining
for Public Health Monitoring and Surveillance Session (https://psb.stanford.edu/previous/psb16/callfor/papers/cfp-smm/) and the 1st Social Media
Mining Shared Task Workshop at the Pacific Symposium in Biocomputing in
2016.
Our aims for
the second execution of this research forum and shared task workshop are
to:
- bring together experts from
related domains to better understand and explore how the knowledge
contained within the social media realm can be best utilized for
health-related tasks,
- release annotated data to the
biomedical informatics research community for the development of
data-centric systems,
- enable the direct comparison of
systems on this domain of health data, and
- provide a platform for
researchers actively working on social media health-related data and those
interested to work in this domain in the future to collaborate and discuss
ideas.
The workshop
will include two components—a standard workshop and a shared task:
- Workshop/research forum
component: For
this component, we invite long and short paper submissions. 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
- Social-media-based
interventions for health monitoring and surveillance
- Deriving prescription drug use
and off-label use trends from social media
- Visualization of social media
health data
- Information retrieval methods
for obtaining relevant social media data
- Social media in precision
medicine
- Infectious disease monitoring
using social media
- Mining health-related
discussions in social media
- Drug abuse and alcoholism
incidence monitoring and interventions through social media
- Prediction/detection of
abusive behavior using social media postings
- Disease incidence studies
using social media
- Sentinel event detection using
social media
- Search, collection, and
analysis techniques for public health informatics using social media
- NLP methods for health-related
consumer-generated (colloquial) text
- 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 hypothesis and datasets.
- Shared task component: This year's shared task will have 3 subtasks focusing on
social media text classification and concept normalization. Further
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.
Submission
deadline: August 30, 2017
Notification
of acceptance: September 21, 2017
Camera-ready
version due: October 4, 2017
Workshop
date: Nov 4 (8.30AM to 4.30PM), 2017
*These dates are for
submissions independent of the shared task only. The shared tasks will follow a
different schedule, as explained in the shared task
website
All 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 10 pages including references.
- Short Papers may
have a maximum length of 5 pages including references.
- System Descriptions (shared
task participants only) may have a maximum of 4 pages including
references. Accepted system descriptions will also be included in the
workshop proceedings.
Please follow
the standard submission guidelines of the AMIA annual symposium available
here: https://www.amia.org/amia2017/call-participation
All
submissions must be through Easychair. Submission link: https://easychair.org/conferences/?conf=smmhawst17
Program/Organizing Committee
- Abeed Sarker,
University of Pennsylvania (ab...@upenn.edu)
- Graciela Gonzalez,
University of Pennsylvania
- Michael J Paul,
University of Colorado-Boulder
- Azadeh Nikfarjam,
Stanford University
- Nigel Collier,
University of Cambridge
- Cecile Paris,
CSIRO, Australia
- Pierre Zweigenbaum,
LIMSI, France
All questions
about submissions should be emailed to Abeed Sarker (ab...@upenn.edu)
Abeed Sarker, Ph.D.
Research Scientist
Department of Biostatistics, Epidemiology and Informatics
The Perelman School of Medicine
University of Pennsylvania
Level 4
Blockley Hall
423 Guardian Drive
Philadelphia, PA 19104
Email: ab...@upenn.edu
Website (group): https://healthlanguageprocessing.org/
Website (personal): sarkerabeed.wordpress.com