📰 Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2020 — accepted papers

Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2020 is the 2020 edition of the Social Media Mining for Health Research and Applications Workshop and Shared Tasks, held in Barcelona, Spain (Online), December 2020 (publisher: Association for Computational Linguistics). The ACL Anthology lists 32 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Barcelona, Spain (Online) · 🗓 December 2020

All accepted papers (32)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. Adverse Drug Reaction Detection in Twitter Using RoBERTa and Rules ↗Sedigh Khademi, Pari Delirhaghighi, Frada Burstein
2. Annotating Patient Information Needs in Online Diabetes Forums ↗Julia Romberg, Jan Dyczmons, Sandra Olivia Borgmann et al.
3. Approaching SMM4H 2020 with Ensembles of BERT Flavours ↗George-Andrei Dima, Andrei-Marius Avram, Dumitru-Clementin Cercel
4. Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines ↗Sougata Saha, Souvik Das, Prashi Khurana et al.
5. Automatic Classification of Tweets Mentioning a Medication Using Pre-trained Sentence Encoders ↗Laiba Mehnaz
6. Automatic Detecting for Health-related Twitter Data with BioBERT ↗Yang Bai, Xiaobing Zhou
7. BERT Implementation for Detecting Adverse Drug Effects Mentions in Russian ↗Andrey Gusev, Anna Kuznetsova, Anna Polyanskaya et al.
8. CLaC at SMM4H 2020: Birth Defect Mention Detection ↗Parsa Bagherzadeh, Sabine Bergler
9. COVID-19 Twitter Monitor: Aggregating and Visualizing COVID-19 Related Trends in Social Media ↗Joseph Cornelius, Tilia Ellendorff, Lenz Furrer et al.
10. Conversation-Aware Filtering of Online Patient Forum Messages ↗Anne Dirkson, Suzan Verberne, Wessel Kraaij
11. Detecting Tweets Reporting Birth Defect Pregnancy Outcome Using Two-View CNN RNN Based Architecture ↗Saichethan Reddy
12. Ensemble BERT for Classifying Medication-mentioning Tweets ↗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 ↗Luis Moßburger, Felix Wende, Kay Brinkmann et al.
14. FBK@SMM4H2020: RoBERTa for Detecting Medications on Twitter ↗Silvia Casola, Alberto Lavelli
15. HITSZ-ICRC: A Report for SMM4H Shared Task 2020-Automatic Classification of Medications and Adverse Effect in Tweets ↗Xiaoyu Zhao, Ying Xiong, Buzhou Tang
16. How Far Can We Go with Just Out-of-the-box BERT Models? ↗Lucie Gattepaille
17. ISLab System for SMM4H Shared Task 2020 ↗Chen-Kai Wang, Hong-Jie Dai, You-Chen Zhang et al.
18. Identification of Medication Tweets Using Domain-specific Pre-trained Language Models ↗Yandrapati Prakash Babu, Rajagopal Eswari
19. Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at \#SMM4H 2020 ↗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 ↗Zulfat Miftahutdinov, Andrey Sakhovskiy, Elena Tutubalina
21. LITL at SMM4H: An Old-school Feature-based Classifier for Identifying Adverse Effects in Tweets ↗Ludovic Tanguy, Lydia-Mai Ho-Dac, Cécile Fabre et al.
22. Medication Mention Detection in Tweets Using ELECTRA Transformers and Decision Trees ↗Lung-Hao Lee, Po-Han Chen, Hao-Chuan Kao et al.
23. NLP@VCU: Identifying Adverse Effects in English Tweets for Unbalanced DataDarshini Mahendran, Cora Lewis, Bridget McInnesour summary
24. Overview of the Fifth Social Media Mining for Health Applications (\#SMM4H) Shared Tasks at COLING 2020 ↗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 ↗Isabel Metzger, Emir Y. Haskovic, Allison Black et al.

See all 32 papers in Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2020 — accepted papers →

📄 Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. NLP@VCU: Identifying Adverse Effects in English Tweets for Unbalanced DataSocial Media Mining for Health Research and Applications Workshop and Shared TasksDarshini Mahendran, Cora Lewis, Bridget McInnes2020 · 2 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

English (1)

📚 Fields

🖥️Computer Science (1)💭Psychology (1)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

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This page in Markdown → https://md.research.elamur.ai/free/en/venues/smm4h/2020/