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Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2022 — accepted papers

Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2022 is the 2022 edition of the Social Media Mining for Health Research and Applications Workshop and Shared Tasks, held in Gyeongju, Republic of Korea, October 2022 (publisher: Association for Computational Linguistics). The ACL Anthology lists 54 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.

📍 Gyeongju, South Korea · 🗓 October 2022

 54papers in the proceedings 1work in our library 1citations of these works

All accepted papers (54)

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

  1. AILAB-Udine@SMM4H'22: Limits of Transformers and BERT Ensembles ↗Beatrice Portelli, Simone Scaboro, Emmanuele Chersoni et al.
  2. AIR-JPMC@SMM4H'22: BERT + Ensembling = Too Cool: Using Multiple BERT Models Together for Various COVID-19 Tweet Identification Tasks ↗Leung Wai Liu, Akshat Gupta, Saheed Obitayo et al.
  3. AIR-JPMC@SMM4H'22: Classifying Self-Reported Intimate Partner Violence in Tweets with Multiple BERT-based Models ↗Alec Louis Candidato, Akshat Gupta, Xiaomo Liu et al.
  4. AIR-JPMC@SMM4H'22: Identifying Self-Reported Spanish COVID-19 Symptom Tweets Through Multiple-Model Ensembling ↗Adrian Garcia Hernandez, Leung Wai Liu, Akshat Gupta et al.
  5. ARGUABLY@SMM4H'22: Classification of Health Related Tweets using Ensemble, Zero-Shot and Fine-Tuned Language Model ↗Prabsimran Kaur, Guneet Kohli, Jatin Bedi
  6. BOUN-TABI@SMM4H'22: Text-to-Text Adverse Drug Event Extraction with Data Balancing and Prompting ↗Gökçe Uludoğan, Zeynep Yirmibeşoğlu
  7. BioInfo@UAVR@SMM4H'22: Classification and Extraction of Adverse Event mentions in Tweets using Transformer Models ↗Edgar Morais, José Luis Oliveira, Alina Trifan et al.
  8. CAISA@SMM4H'22: Robust Cross-Lingual Detection of Disease Mentions on Social Media with Adversarial Methods ↗Akbar Karimi, Lucie Flek
  9. CASIA@SMM4H'22: A Uniform Health Information Mining System for Multilingual Social Media Texts ↗Jia Fu, Sirui Li, Hui Ming Yuan et al.
  10. CHAAI@SMM4H'22: RoBERTa, GPT-2 and Sampling - An interesting concoction ↗Christopher Palmer, Sedigheh Khademi Habibabadi, Muhammad Javed et al.
  11. CIC NLP at SMM4H 2022: a BERT-based approach for classification of social media forum posts ↗Atnafu Lambebo Tonja, Olumide Ebenezer Ojo, Mohammed Arif Khan et al.
  12. CLaCLab at SocialDisNER: Using Medical Gazetteers for Named-Entity Recognition of Disease Mentions in Spanish Tweets ↗Harsh Verma, Parsa Bagherzadeh, Sabine Bergler
  13. COVID-19-related Nepali Tweets Classification in a Low Resource Setting ↗Rabin Adhikari, Safal Thapaliya, Nirajan Basnet et al.
  14. CSECU-DSG@SMM4H'22: Transformer based Unified Approach for Classification of Changes in Medication Treatments in Tweets and WebMD Reviews ↗Afrin Sultana, Nihad Karim Chowdhury, Abu Nowshed Chy
  15. CompLx@SMM4H'22: In-domain pretrained language models for detection of adverse drug reaction mentions in English tweetsOrest Xherija, Hojoon Choiour summary
  16. Edinburgh_UCL_Health@SMM4H'22: From Glove to Flair for handling imbalanced healthcare corpora related to Adverse Drug Events, Change in medication and self-reporting vaccination ↗Imane Guellil, Jinge Wu, Honghan Wu et al.
  17. Enolp musk@SMM4H'22 : Leveraging Pre-trained Language Models for Stance And Premise Classification ↗Millon Madhur Das, Archit Mangrulkar, Ishan Manchanda et al.
  18. FRE at SocialDisNER: Joint Learning of Language Models for Named Entity Recognition ↗Kendrick Cetina, Nuria García-Santa
  19. Fraunhofer FKIE @ SMM4H 2022: System Description for Shared Tasks 2, 4 and 9 ↗Daniel Claeser, Samantha Kent
  20. Fraunhofer SIT@SMM4H'22: Learning to Predict Stances and Premises in Tweets related to COVID-19 Health Orders Using Generative Models ↗Raphael Frick, Martin Steinebach
  21. HaleLab_NITK@SMM4H'22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media Data ↗Reshma Unnikrishnan, Sowmya Kamath S, Ananthanarayana V. S.
  22. IAI @ SocialDisNER : Catch me if you can! Capturing complex disease mentions in tweets ↗Aman Sinha, Cristina Garcia Holgado, Marianne Clausel et al.
  23. ITAINNOVA at SocialDisNER: A Transformers cocktail for disease identification in social media in Spanish ↗Rosa Montañés-Salas, Irene López-Bosque, Luis García-Garcés et al.
  24. Innovators @ SMM4H'22: An Ensembles Approach for self-reporting of COVID-19 Vaccination Status Tweets ↗Mohammad Zohair, Nidhir Bhavsar, Aakash Bhatnagar et al.
  25. Innovators@SMM4H'22: An Ensembles Approach for Stance and Premise Classification of COVID-19 Health Mandates Tweets ↗Vatsal Savaliya, Aakash Bhatnagar, Nidhir Bhavsar et al.

See all 54 papers in Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2022 — accepted papers →

 Papers with our summary in our library (1)

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

  1. CompLx@SMM4H'22: In-domain pretrained language models for detection of adverse drug reaction mentions in English tweetsSocial Media Mining for Health Research and Applications Workshop and Shared TasksOrest Xherija, Hojoon Choi2022 · 1 citation

 Top topics

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

English (1)

 Fields

Computer Science (1)Medicine (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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