Papers
37 papers found
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.
CTYUN-AI@SMM4H-2024: Knowledge Extension Makes Expert Models
Yuming Fan, Dongming Yang, Lina Cao
DILAB at #SMM4H 2024: RoBERTa Ensemble for Identifying Children’s Medical Disorders in English Tweets
Azmine Toushik Wasi, Sheikh Rahman
DILAB at #SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data
Sheikh Rahman, Azmine Toushik Wasi
Dolomites@#SMM4H 2024: Helping LLMs “Know The Drill” in Low-Resource Settings - A Study on Social Media Posts
Giuliano Tortoreto, Seyed Mahed Mousavi
RIGA at SMM4H-2024 Task 1: Enhancing ADE discovery with GPT-4
Eduards Mukans, Guntis Barzdins
Golden_Duck at #SMM4H 2024: A Transformer-based Approach to Social Media Text Classification
Md Ayon Mia, Mahshar Yahan, Hasan Murad et al.
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.
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.
UTRad-NLP at #SMM4H 2024: Why LLM-Generated Texts Fail to Improve Text Classification Models
Yosuke Yamagishi, Yuta Nakamura
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.
SMM4H 2024: 5 Fold Cross Validation for Classification of tweets reporting children’s disorders
Lipika Dey, B Naik, Oppangi Poojita 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.
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.
Deloitte at #SMM4H 2024: Can GPT-4 Detect COVID-19 Tweets Annotated by Itself?
Harika Abburi, Nirmala Pudota, Balaji Veeramani 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.
1024m at SMM4H 2024: Tasks 3, 5 & 6 - Self Reported Health Text Classification through Ensembles
Ram Kadiyala, M.v.p. Rao
interrupt-driven@SMM4H’24: Relevance-weighted Sentiment Analysis of Reddit Posts
Jessica Elliott, Roland Elliott
IITRoorkee@SMM4H 2024 Cross-Platform Age Detection in Twitter and Reddit Using Transformer-Based Model
Thadavarthi Sankar, Dudekula Suraj, Mallamgari Reddy 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
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