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ORCID3rd SMM4H@EMNLP 2018: Brussels, Belgium
- Graciela Gonzalez-Hernandez, Davy Weissenbacher, Abeed Sarker, Michael J. Paul:
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, SMM4H@EMNLP 2018, Brussels, Belgium, October 31, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-77-3 - Roland Roller, Philippe Thomas, Sven Schmeier:
Football and Beer - a Social Media Analysis on Twitter in Context of the FIFA Football World Cup 2018. 1-4 - Maria Skeppstedt, Manfred Stede, Andreas Kerren:
Stance-Taking in Topics Extracted from Vaccine-Related Tweets and Discussion Forum Posts. 5-8 - Inna Pirina, Çagri Çöltekin:
Identifying Depression on Reddit: The Effect of Training Data. 9-12 - Davy Weissenbacher, Abeed Sarker
, Michael J. Paul, Graciela Gonzalez-Hernandez:
Overview of the Third Social Media Mining for Health (SMM4H) Shared Tasks at EMNLP 2018. 13-16 - Lucie Flekova, Vasileios Lampos, Ingemar J. Cox:
Changes in Psycholinguistic Attributes of Social Media Users Before, During, and After Self-Reported Influenza Symptoms. 17-21 - Victoria Bobicev, Marina Sokolova:
Thumbs Up and Down: Sentiment Analysis of Medical Online Forums. 22-26 - Puneet Mathur, Meghna Ayyar, Sahil Chopra, Simra Shahid, Laiba Mehnaz, Rajiv Shah:
Identification of Emergency Blood Donation Request on Twitter. 27-31 - Takeshi Onishi, Davy Weissenbacher, Ari Z. Klein, Karen O'Connor, Graciela Gonzalez-Hernandez:
Dealing with Medication Non-Adherence Expressions in Twitter. 32-33 - Chuhan Wu, Fangzhao Wu, Junxin Liu, Sixing Wu, Yongfeng Huang, Xing Xie:
Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention. 34-37 - Orest Xherija:
Classification of Medication-Related Tweets Using Stacked Bidirectional LSTMs with Context-Aware Attention. 38-42 - Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. 43-47 - Nishant Nikhil, Shivansh Mundra:
Neural DrugNet. 48-49 - Anne-Lyse Minard, Christian Raymond, Vincent Claveau:
IRISA at SMM4H 2018: Neural Network and Bagging for Tweet Classification. 50-51 - Çagri Çöltekin, Taraka Rama:
Drug-Use Identification from Tweets with Word and Character N-Grams. 52-53 - Segun Taofeek Aroyehun, Alexander F. Gelbukh:
Automatic Identification of Drugs and Adverse Drug Reaction Related Tweets. 54-55 - Tilia Ellendorff, Joseph Cornelius, Heath Gordon, Nicola Colic, Fabio Rinaldi:
UZH@SMM4H: System Descriptions. 56-60 - Santosh Tokala, Vaibhav Gambhir, Animesh Mukherjee:
Deep Learning for Social Media Health Text Classification. 61-64 - Victoria Bobicev, Victoria Lazu, Daniela Istrati:
Using PPM for Health Related Text Detection. 65-66 - Rupsa Saha, Abir Naskar, Tirthankar Dasgupta, Lipika Dey:
Leveraging Web Based Evidence Gathering for Drug Information Identification from Tweets. 67-69 - Parsa Bagherzadeh, Nadia Sheikh, Sabine Bergler:
CLaC at SMM4H Task 1, 2, and 4. 70-73
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