SMM4H@ACL

Publications

2019

Anne Dirkson, Suzan Verberne, Wessel Kraaij
Lexical Normalization of User-Generated Medical Text. SMM4H@ACL (2019)
Sarah Sarabadani
Detection of Adverse Drug Reaction Mentions in Tweets Using ELMo. SMM4H@ACL (2019)
Kai He, Jialun Wu, Xiaoyong Ma, Chong Zhang, Ming Huang, Chen Li, Lixia Yao
Extracting Kinship from Obituary to Enhance Electronic Health Records for Genetic Research. SMM4H@ACL (2019)
Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, María Teresa Martín-Valdivia, Luis Alfonso Ureña López
Using Machine Learning and Deep Learning Methods to Find Mentions of Adverse Drug Reactions in Social Media. SMM4H@ACL (2019)
Debanjan Mahata, Sarthak Anand, Haimin Zhang, Simra Shahid, Laiba Mehnaz, Yaman Kumar, Rajiv Ratn Shah
MIDAS@SMM4H-2019: Identifying Adverse Drug Reactions and Personal Health Experience Mentions from Twitter. SMM4H@ACL (2019)
Shubham Gondane
Neural Network to Identify Personal Health Experience Mention in Tweets Using BioBERT Embeddings. SMM4H@ACL (2019)
Samarth Rawal, Siddharth Rawal, Saadat Anwar, Chitta Baral
Identification of Adverse Drug Reaction Mentions in Tweets - SMM4H Shared Task 2019. SMM4H@ACL (2019)
Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, SMM4H@ACL 2019, Florence, Italy, August 2, 2019 SMM4H@ACL (2019)
Parsa Bagherzadeh, Nadia Sheikh, Sabine Bergler
Adverse Drug Effect and Personalized Health Mentions, CLaC at SMM4H 2019, Tasks 1 and 4. SMM4H@ACL (2019)
V. G. Vinod Vydiswaran, Grace Ganzel, Bryan Romas, Deahan Yu, Amy Austin, Neha Bhomia, Socheatha Chan, Stephanie Hall, Van Le, Aaron Miller, Olawunmi Oduyebo, Aulia Song, Radhika Sondhi, Danny Teng, Hao Tseng, Kim Vuong, Stephanie Zimmerman
Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1. SMM4H@ACL (2019)
Zulfat Miftahutdinov, Ilseyar Alimova, Elena Tutubalina
KFU NLP Team at SMM4H 2019 Tasks: Want to Extract Adverse Drugs Reactions from Tweets? BERT to The Rescue. SMM4H@ACL (2019)
Chen-Kai Wang, Hong-Jie Dai, Bo-Hung Wang
BIGODM System in the Social Media Mining for Health Applications Shared Task 2019. SMM4H@ACL (2019)
Paul Barry, Özlem Uzuner
Deep Learning for Identification of Adverse Effect Mentions In Twitter Data. SMM4H@ACL (2019)
Davy Weissenbacher, Abeed Sarker, Arjun Magge, Ashlynn R. Daughton, Karen O'Connor, Michael J. Paul, Graciela Gonzalez-Hernandez
Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019. SMM4H@ACL (2019)
Giuliano Tortoreto, Evgeny A. Stepanov, Alessandra Cervone, Mateusz Dubiel, Giuseppe Riccardi
Affective Behaviour Analysis of On-line User Interactions: Are On-line Support Groups More Therapeutic than Twitter? SMM4H@ACL (2019)
Segun Taofeek Aroyehun, Alexander F. Gelbukh
Detection of Adverse Drug Reaction in Tweets Using a Combination of Heterogeneous Word Embeddings. SMM4H@ACL (2019)
Shuai Chen, Yuanhang Huang, Xiaowei Huang, Haoming Qin, Jun Yan, Buzhou Tang
HITSZ-ICRC: A Report for SMM4H Shared Task 2019-Automatic Classification and Extraction of Adverse Effect Mentions in Tweets. SMM4H@ACL (2019)
Fionn Delahunty, Robert Johansson, Mihael Arcan
Passive Diagnosis Incorporating the PHQ-4 for Depression and Anxiety. SMM4H@ACL (2019)
Emmanouil Manousogiannis, Sepideh Mesbah, Alessandro Bozzon, Selene Baez Santamaría, Robert-Jan Sips
Give It a Shot: Few-shot Learning to Normalize ADR Mentions in Social Media Posts. SMM4H@ACL (2019)
Anne Dirkson, Suzan Verberne
Transfer Learning for Health-related Twitter Data. SMM4H@ACL (2019)
Suyu Ge, Tao Qi, Chuhan Wu, Yongfeng Huang
Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention. SMM4H@ACL (2019)
Tilia Ellendorff, Lenz Furrer, Nicola Colic, Noëmi Aepli, Fabio Rinaldi
Approaching SMM4H with Merged Models and Multi-task Learning. SMM4H@ACL (2019)
Maksim Belousov, William G. Dixon, Goran Nenadic
MedNorm: A Corpus and Embeddings for Cross-terminology Medical Concept Normalisation. SMM4H@ACL (2019)
Arno Schneuwly, Ralf Grubenmann, Séverine Rion Logean, Mark Cieliebak, Martin Jaggi
Correlating Twitter Language with Community-Level Health Outcomes. SMM4H@ACL (2019)
Javier Cortes-Tejada, Juan Martínez-Romo, Lourdes Araujo
NLP@UNED at SMM4H 2019: Neural Networks Applied to Automatic Classifications of Adverse Effects Mentions in Tweets. SMM4H@ACL (2019)
Xinyan Zhao, Deahan Yu, V. G. Vinod Vydiswaran
Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation. SMM4H@ACL (2019)