| Challenge: | Adverse drug reactions are a severe problem that significantly degrade quality of life and make the therapeutic approach unacceptable. |
| Approach: | They crawled patient’s weblog articles shared on an online patient-networking platform and annotated the effects of drugs therein reported. |
| Outcome: | The proposed dataset is unique for the richness of annotated information, including detailed descriptions of drug reactions with full context. |
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Lisa Raithel, Hui-Syuan Yeh, Shuntaro Yada, Cyril Grouin, Thomas Lavergne, Aurélie Névéol, Patrick Paroubek, Philippe Thomas, Tomohiro Nishiyama, Sebastian Möller, Eiji Aramaki, Yuji Matsumoto, Roland Roller, Pierre Zweigenbaum
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Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient’s Perspective (2022.lrec-1)
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| Challenge: | a recent study shows that the class labels of german documents containing ADRs are imbalanced . clinical trials and physicians prescribing medications cannot cover every potential use case. |
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Detecting Adverse Drug Reactions from Biomedical Texts with Neural Networks (P19-2)
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| Challenge: | Detection of adverse drug reactions in post-marketing period is a crucial challenge for pharmacology. |
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Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content (D19-1)
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Sepideh Mesbah, Jie Yang, Robert-Jan Sips, Manuel Valle Torre, Christoph Lofi, Alessandro Bozzon, Geert-Jan Houben
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Conceptualisation and Annotation of Drug Nonadherence Information for Knowledge Extraction from Patient-Generated Texts (D19-55)
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| Challenge: | a new approach to knowledge extraction (KE) is needed for the health domain. |
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A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature (P18-1)
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| Challenge: | In 2015 alone, about 100 manuscripts describing randomized controlled trials for medical interventions were published every day. |
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The Medical Scribe: Corpus Development and Model Performance Analyses (2020.lrec-1)
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Izhak Shafran, Nan Du, Linh Tran, Amanda Perry, Lauren Keyes, Mark Knichel, Ashley Domin, Lei Huang, Yu-hui Chen, Gang Li, Mingqiu Wang, Laurent El Shafey, Hagen Soltau, Justin Stuart Paul
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Lived Experience Not Found: LLMs Struggle to Align with Experts on Addressing Adverse Drug Reactions from Psychiatric Medication Use (2025.naacl-long)
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Mohit Chandra, Siddharth Sriraman, Gaurav Verma, Harneet Singh Khanuja, Jose Suarez Campayo, Zihang Li, Michael L. Birnbaum, Munmun De Choudhury
| Challenge: | Adverse Drug Reactions (ADRs) from psychiatric medications are the leading cause of hospitalizations among mental health patients. |
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SYMPTOMIFY: Transforming Symptom Annotations with Language Model Knowledge Harvesting (2023.findings-emnlp)
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| Challenge: | a new dataset of annotated vaccine adverse reaction reports is aimed at improving human annotators . a continual evolution in language models and strides in few-shot learning offer promise for improvement. |
| Approach: | They propose a resource to help human annotators improve their efficiency . they evaluate performance across various methods and learning paradigms . |
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Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit (2024.findings-acl)
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| Challenge: | Our study aims to develop a multi-level, multi-label classification model to analyze online user-generated texts about substance use experiences. |
| Approach: | They propose a taxonomy to assess the nature of posts, including intended connections (Inquisition or Disclosure), subjects (e.g., Recovery, Dependency), and specific objectives (eg. relapse, quality, safety). |
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