ThangDLU at #SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents

no code implementations • 30 Apr 2024 • Hoang-Thang Ta, Abu Bakar Siddiqur Rahman, Lotfollah Najjar, Alexander Gelbukh

This paper describes our participation in Task 3 and Task 5 of the #SMM4H (Social Media Mining for Health) 2024 Workshop, explicitly targeting the classification challenges within tweet data.

DepressionEmo: A novel dataset for multilabel classification of depression emotions

1 code implementation • 9 Jan 2024 • Abu Bakar Siddiqur Rahman, Hoang-Thang Ta, Lotfollah Najjar, Azad Azadmanesh, Ali Saffet Gönül

Across all emotions, the highest F1-Macro value is achieved by suicide intent, indicating a certain value of our dataset in identifying emotions in individuals with depression symptoms through text analysis.

text-classification Text Classification

WikiDes: A Wikipedia-Based Dataset for Generating Short Descriptions from Paragraphs

1 code implementation • 27 Sep 2022 • Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Navonil Majumder, Amir Hussain, Lotfollah Najjar, Newton Howard, Soujanya Poria, Alexander Gelbukh

In this paper, we introduce WikiDes, a novel dataset to generate short descriptions of Wikipedia articles for the problem of text summarization.

Contrastive Learning Extreme Summarization +5