Social Media Mining for Health Research and Applications Workshop and Shared Tasks 2024: all accepted papers
- 712forTask7 at \#SMM4H 2024 Task 7: Classifying Spanish Tweets Annotated by Humans versus Machines with BETO Models ↗Hafizh Yusuf, David Belmonte, Dalton Simancek et al.
- AAST-NLP@\#SMM4H'24: Finetuning Language Models for Exact Age Classification and Effect of Outdoor Spaces on Social Anxiety ↗Ahmed El-Sayed, Omar Nasr, Noha Tawfik
- ADE Oracle at \#SMM4H 2024: A Two-Stage NLP System for Extracting and Normalizing Adverse Drug Events from Tweets ↗Andrew Davis, Billy Dickson, Sandra Kübler
- BIT@UA at \#SMM4H 2024 Tasks 1 and 5: finding adverse drug events and children's medical disorders in English tweetsLuís Carlos Afonso, João Rafael Almeida, Rui Antunes et al.our summary
- BrainStorm @ iREL at \#SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets ↗Manav Chaudhary, Harshit Gupta, Vasudeva Varma
- CTYUN-AI@SMM4H-2024: Knowledge Extension Makes Expert Models ↗Yuming Fan, Dongming Yang, Lina Cao
- DILAB at \#SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data ↗Sheikh Rahman, Azmine Toushik Wasi
- DILAB at \#SMM4H 2024: RoBERTa Ensemble for Identifying Children's Medical Disorders in English Tweets ↗Azmine Toushik Wasi, Sheikh Rahman
- Deloitte at \#SMM4H 2024: Can GPT-4 Detect COVID-19 Tweets Annotated by Itself? ↗Harika Abburi, Nirmala Pudota, Balaji Veeramani et al.
- Dolomites@\#SMM4H 2024: Helping LLMs “Know The Drill” in Low-Resource Settings - A Study on Social Media Posts ↗Giuliano Tortoreto, Seyed Mahed Mousavi
- Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers ↗Sedigh Khademi, Christopher Palmer, Muhammad Javed et al.
- Experimenting with Transformer-based and Large Language Models for Classifying Effects of Outdoor Spaces on Social Anxiety in Social Media Data ↗Falwah Alhamed, Julia Ive, Lucia Specia
- FORCE: A Benchmark Dataset for Foodborne Disease Outbreak and Recall Event Extraction from News ↗Sudeshna Jana, Manjira Sinha, Tirthankar Dasgupta
- Golden_Duck at \#SMM4H 2024: A Transformer-based Approach to Social Media Text Classification ↗Md Ayon Mia, Mahshar Yahan, Hasan Murad et al.
- HBUT at \#SMM4H 2024 Task1: Extraction and Normalization of Adverse Drug Events with a Large Language Model ↗Yuanzhi Ke, Hanbo Jin, Xinyun Wu et al.
- HBUT at \#SMM4H 2024 Task2: Cross-lingual Few-shot Medical Entity Extraction using a Large Language Model ↗Yuanzhi Ke, Zhangju Yin, Xinyun Wu et al.
- HaleLab_NITK@SMM4H'24: Binary classification of English tweets reporting children's medical disordersRitik Mahajan, Sowmya S.our summary
- IITRoorkee@SMM4H 2024 Cross-Platform Age Detection in Twitter and Reddit Using Transformer-Based Model ↗Thadavarthi Sankar, Dudekula Suraj, Mallamgari Reddy et al.
- IMS_medicALY at \#SMM4H 2024: Detecting Impacts of Outdoor Spaces on Social Anxiety with Data Augmented Ensembling ↗Amelie Wuehrl, Lynn Greschner, Yarik Menchaca Resendiz et al.
- KUL@SMM4H2024: Optimizing Text Classification with Quality-Assured Augmentation Strategies ↗Sumam Francis, Marie-Francine Moens
- LHS712NV at \#SMM4H 2024 Task 4: Using BERT to classify Reddit posts on non-medical substance use ↗Valeria Fraga, Neha Nair, Dalton Simancek et al.
- LT4SG@SMM4H'24: Tweets Classification for Digital Epidemiology of Childhood Health Outcomes Using Pre-Trained Language Models ↗Dasun Athukoralage, Thushari Atapattu, Menasha Thilakaratne et al.
- Overview of \#SMM4H 2024 – Task 2: Cross-Lingual Few-Shot Relation Extraction for Pharmacovigilance in French, German, and Japanese ↗Lisa Raithel, Philippe Thomas, Bhuvanesh Verma et al.
- Overview of the 9th Social Media Mining for Health Applications (\#SMM4H) Shared Tasks at ACL 2024 – Large Language Models and Generalizability for Social Media NLP ↗Dongfang Xu, Guillermo Garcia, Lisa Raithel et al.
- PCIC at SMM4H 2024: Enhancing Reddit Post Classification on Social Anxiety Using Transformer Models and Advanced Loss Functions ↗Leon Hecht, Victor Pozos, Helena Gomez Adorno et al.
- PolyuCBS at SMM4H 2024: LLM-based Medical Disorder and Adverse Drug Event Detection with Low-rank Adaptation ↗Zhai Yu, Xiaoyi Bao, Emmanuele Chersoni et al.
- RIGA at SMM4H-2024 Task 1: Enhancing ADE discovery with GPT-4 ↗Eduards Mukans, Guntis Barzdins
- SMM4H 2024: 5 Fold Cross Validation for Classification of tweets reporting children's disorders ↗Lipika Dey, B Naik, Oppangi Poojita et al.
- SMM4H'24 Task6 : Extracting Self-Reported Age with LLM and BERTweet: Fine-Grained Approaches for Social Media Text ↗Jaskaran Singh, Jatin Bedi, Maninder Kaur
- SRCB at \#SMM4H 2024: Making Full Use of LLM-based Data Augmentation in Adverse Drug Event Extraction and Normalization ↗Hongyu Li, Yuming Zhang, Yongwei Zhang et al.
- TLab at \#SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization ↗Jacob Berkowitz, Apoorva Srinivasan, Jose Miguel Acitores Cortina et al.
- ThangDLU at \#SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents ↗Thang Ta, Abu Rahman, Lotfollah Najjar et al.
- UKYNLP@SMM4H2024: Language Model Methods for Health Entity Tagging and Classification on Social Media (Tasks 4 & 5) ↗Motasem Obeidat, Vinu Ekanayake, Md Sultan Al Nahian et al.
- UTRad-NLP at \#SMM4H 2024: Why LLM-Generated Texts Fail to Improve Text Classification Models ↗Yosuke Yamagishi, Yuta Nakamura
- interrupt-driven@SMM4H'24: Relevance-weighted Sentiment Analysis of Reddit Posts ↗Jessica Elliott, Roland Elliott
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