adverse drug reaction

A causal machine learning framework for pharmacovigilance signal detection in electronic health records: Drug-induced acute kidney injury CLeaR 2026 Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use NAACL 2025 A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages COLING 2024 Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain EACL 2024 Overview of #SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese ACL 2024 Exploring Drug Switching in Patients: A Deep Learning-based Approach to Extract Drug Changes and Reasons from Social Media ACL 2023 Learning to Describe for Predicting Zero-shot Drug-Drug Interactions EMNLP 2023 CompLx@SMM4H’22: In-domain pretrained language models for detection of adverse drug reaction mentions in English tweets COLING 2022 PHEE: A Dataset for Pharmacovigilance Event Extraction from Text EMNLP 2022 PingAnTech at SMM4H task1: Multiple pre-trained model approaches for Adverse Drug Reactions COLING 2022 View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data NAACL 2021 Adverse Drug Reaction Detection in Twitter Using RoBERTa and Rules COLING 2020 Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines COLING 2020 Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings EMNLP 2020 How Far Can We Go with Just Out-of-the-box BERT Models? COLING 2020 Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020 COLING 2020 KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug Reactions COLING 2020 Normalization of Long-tail Adverse Drug Reactions in Social Media EMNLP 2020 Sentence Transformers and Bayesian Optimization for Adverse Drug Effect Detection from Twitter COLING 2020 Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa COLING 2020 Adverse Drug Effect and Personalized Health Mentions, CLaC at SMM4H 2019, Tasks 1 and 4 ACL 2019 Approaching SMM4H with Merged Models and Multi-task Learning ACL 2019 A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining ACL 2019 BIGODM System in the Social Media Mining for Health Applications Shared Task 2019 ACL 2019 Clinical Judgement Study using Question Answering from Electronic Health Records MLHC 2019