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title: "Social Media Mining for Health Research and Applications"
description: "All 32 papers of Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2020, the most cited first; those with…"
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# Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2020: all accepted papers

32 papers · the most cited first · [← Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2020](https://md.research.elamur.ai/free/en/venues/smm4h/2020/)

1. **[Adverse Drug Reaction Detection in Twitter Using RoBERTa and Rules ↗](https://aclanthology.org/2020.smm4h-1.18/)**Sedigh Khademi, Pari Delirhaghighi, Frada Burstein
2. **[Annotating Patient Information Needs in Online Diabetes Forums ↗](https://aclanthology.org/2020.smm4h-1.3/)**Julia Romberg, Jan Dyczmons, Sandra Olivia Borgmann et al.
3. **[Approaching SMM4H 2020 with Ensembles of BERT Flavours ↗](https://aclanthology.org/2020.smm4h-1.28/)**George-Andrei Dima, Andrei-Marius Avram, Dumitru-Clementin Cercel
4. **[Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines ↗](https://aclanthology.org/2020.smm4h-1.16/)**Sougata Saha, Souvik Das, Prashi Khurana et al.
5. **[Automatic Classification of Tweets Mentioning a Medication Using Pre-trained Sentence Encoders ↗](https://aclanthology.org/2020.smm4h-1.27/)**Laiba Mehnaz
6. **[Automatic Detecting for Health-related Twitter Data with BioBERT ↗](https://aclanthology.org/2020.smm4h-1.10/)**Yang Bai, Xiaobing Zhou
7. **[BERT Implementation for Detecting Adverse Drug Effects Mentions in Russian ↗](https://aclanthology.org/2020.smm4h-1.7/)**Andrey Gusev, Anna Kuznetsova, Anna Polyanskaya et al.
8. **[CLaC at SMM4H 2020: Birth Defect Mention Detection ↗](https://aclanthology.org/2020.smm4h-1.32/)**Parsa Bagherzadeh, Sabine Bergler
9. **[COVID-19 Twitter Monitor: Aggregating and Visualizing COVID-19 Related Trends in Social Media ↗](https://aclanthology.org/2020.smm4h-1.1/)**Joseph Cornelius, Tilia Ellendorff, Lenz Furrer et al.
10. **[Conversation-Aware Filtering of Online Patient Forum Messages ↗](https://aclanthology.org/2020.smm4h-1.2/)**Anne Dirkson, Suzan Verberne, Wessel Kraaij
11. **[Detecting Tweets Reporting Birth Defect Pregnancy Outcome Using Two-View CNN RNN Based Architecture ↗](https://aclanthology.org/2020.smm4h-1.21/)**Saichethan Reddy
12. **[Ensemble BERT for Classifying Medication-mentioning Tweets ↗](https://aclanthology.org/2020.smm4h-1.5/)**Huong Dang, Kahyun Lee, Sam Henry et al.
13. **[Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum ↗](https://aclanthology.org/2020.smm4h-1.11/)**Luis Moßburger, Felix Wende, Kay Brinkmann et al.
14. **[FBK@SMM4H2020: RoBERTa for Detecting Medications on Twitter ↗](https://aclanthology.org/2020.smm4h-1.15/)**Silvia Casola, Alberto Lavelli
15. **[HITSZ-ICRC: A Report for SMM4H Shared Task 2020-Automatic Classification of Medications and Adverse Effect in Tweets ↗](https://aclanthology.org/2020.smm4h-1.26/)**Xiaoyu Zhao, Ying Xiong, Buzhou Tang
16. **[How Far Can We Go with Just Out-of-the-box BERT Models? ↗](https://aclanthology.org/2020.smm4h-1.14/)**Lucie Gattepaille
17. **[ISLab System for SMM4H Shared Task 2020 ↗](https://aclanthology.org/2020.smm4h-1.6/)**Chen-Kai Wang, Hong-Jie Dai, You-Chen Zhang et al.
18. **[Identification of Medication Tweets Using Domain-specific Pre-trained Language Models ↗](https://aclanthology.org/2020.smm4h-1.22/)**Yandrapati Prakash Babu, Rajagopal Eswari
19. **[Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at \#SMM4H 2020 ↗](https://aclanthology.org/2020.smm4h-1.13/)**V.G.Vinod Vydiswaran, Deahan Yu, Xinyan Zhao et al.
20. **[KFU NLP Team at SMM4H 2020 Tasks: Cross-lingual Transfer Learning with Pretrained Language Models for Drug Reactions ↗](https://aclanthology.org/2020.smm4h-1.8/)**Zulfat Miftahutdinov, Andrey Sakhovskiy, Elena Tutubalina
21. **[LITL at SMM4H: An Old-school Feature-based Classifier for Identifying Adverse Effects in Tweets ↗](https://aclanthology.org/2020.smm4h-1.24/)**Ludovic Tanguy, Lydia-Mai Ho-Dac, Cécile Fabre et al.
22. **[Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees ↗](https://aclanthology.org/2020.smm4h-1.23/)**Lung-Hao Lee, Po-Han Chen, Hao-Chuan Kao et al.
23. **[NLP@VCU: Identifying Adverse Effects in English Tweets for Unbalanced Data](https://md.research.elamur.ai/free/en/papers/mahendran-2020-nlp-vcu-identifying-adverse-effects/)**Darshini Mahendran, Cora Lewis, Bridget McInnes*our summary*
24. **[Overview of the Fifth Social Media Mining for Health Applications (\#SMM4H) Shared Tasks at COLING 2020 ↗](https://aclanthology.org/2020.smm4h-1.4/)**Ari Klein, Ilseyar Alimova, Ivan Flores et al.
25. **[SMM4H Shared Task 2020 - A Hybrid Pipeline for Identifying Prescription Drug Abuse from Twitter: Machine Learning, Deep Learning, and Post-Processing ↗](https://aclanthology.org/2020.smm4h-1.9/)**Isabel Metzger, Emir Y. Haskovic, Allison Black et al.
26. **[Sentence Classification with Imbalanced Data for Health Applications ↗](https://aclanthology.org/2020.smm4h-1.25/)**Farhana Ferdousi Liza
27. **[Sentence Contextual Encoder with BERT and BiLSTM for Automatic Classification with Imbalanced Medication Tweets ↗](https://aclanthology.org/2020.smm4h-1.31/)**Olanrewaju Tahir Aduragba, Jialin Yu, Gautham Senthilnathan et al.
28. **[Sentence Transformers and Bayesian Optimization for Adverse Drug Effect Detection from Twitter ↗](https://aclanthology.org/2020.smm4h-1.30/)**Oguzhan Gencoglu
29. **[SpeechTrans@SMM4H'20: Impact of Preprocessing and N-grams on Automatic Classification of Tweets That Mention Medications ↗](https://aclanthology.org/2020.smm4h-1.19/)**Mohamed Lichouri, Mourad Abbas
30. **[Towards Preemptive Detection of Depression and Anxiety in Twitter ↗](https://aclanthology.org/2020.smm4h-1.12/)**David Owen, Jose Camacho-Collados, Luis Espinosa Anke
31. **[Transformer Models for Drug Adverse Effects Detection from Tweets ↗](https://aclanthology.org/2020.smm4h-1.17/)**Pavel Blinov, Manvel Avetisian
32. **[Want to Identify, Extract and Normalize Adverse Drug Reactions in Tweets? Use RoBERTa ↗](https://aclanthology.org/2020.smm4h-1.20/)**Katikapalli Subramanyam Kalyan, Sivanesan Sangeetha
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