Papers
12 papers found
BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster
Xiaotian Lin, Yingwen Fu, Ziyu Yang et al.
NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media
Wei-Yao Wang, Yu-Chien Tang, Wei-Wei Du et al.
UMUTeam@LT-EDI-ACL2022: Detecting Signs of Depression from text
José García-Díaz, Rafael Valencia-García
KUCST@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text
Manex Agirrezabal, Janek Amann
KADO@LT-EDI-ACL2022: BERT-based Ensembles for Detecting Signs of Depression from Social Media Text
Morteza Janatdoust, Fatemeh Ehsani-Besheli, Hossein Zeinali
OPI@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text using RoBERTa Pre-trained Language Models
Rafał Poświata, Michał Perełkiewicz
Findings of the Shared Task on Detecting Signs of Depression from Social Media
Kayalvizhi S, Thenmozhi Durairaj, Bharathi Raja Chakravarthi et al.
DLRG@LT-EDI-ACL2022:Detecting signs of Depression from Social Media using XGBoost Method
Herbert Sharen, Ratnavel Rajalakshmi
IDIAP Submission@LT-EDI-ACL2022: Detecting Signs of Depression from Social Media Text
Muskaan Singh, Petr Motlicek
SSN_MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media Text
Karun Anantharaman, Angel S, Rajalakshmi Sivanaiah et al.