4 citations · 8 across the 6 of their papers we have counts for
7 papers
Classification of Hope in Textual Data using Transformer-Based Models
Chukwuebuka Fortunate Ijezue, Tania-Amanda Fredrick Eneye, Maaz Amjad
This paper presents a transformer-based approach for classifying hope expressions in text. We developed and compared three architectures (BERT, GPT-2, and DeBERTa) for both binary…
Alif: Advancing Urdu Large Language Models via Multilingual Synthetic Data Distillation
Muhammad Ali Shafique, Kanwal Mehreen, Muhammad Arham +3
Developing a high-performing large language models (LLMs) for low-resource languages such as Urdu, present several challenges. These challenges include the scarcity of high-quality…
Optimism, Expectation, or Sarcasm? Multi-Class Hope Speech Detection in Spanish and English
Sabur Butt, Fazlourrahman Balouchzahi, Ahmad Imam Amjad +3
Hope is a complex and underexplored emotional state that plays a significant role in education, mental health, and social interaction. Unlike basic emotions, hope manifests in nuan…
GuReT: Distinguishing Guilt and Regret related Text
Sabur Butt, Fazlourrahman Balouchzahi, Abdul Gafar Manuel Meque +4
The intricate relationship between human decision-making and emotions, particularly guilt and regret, has significant implications on behavior and well-being. Yet, these emotions s…
Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2020
Maaz Amjad, Grigori Sidorov, Alisa Zhila +2
This overview paper describes the first shared task on fake news detection in Urdu language. The task was posed as a binary classification task, in which the goal is to differentia…
Overview of Abusive and Threatening Language Detection in Urdu at FIRE 2021
Maaz Amjad, Alisa Zhila, Grigori Sidorov +5
With the growth of social media platform influence, the effect of their misuse becomes more and more impactful. The importance of automatic detection of threatening and abusive lan…
Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021
Maaz Amjad, Sabur Butt, Hamza Imam Amjad +3
Automatic detection of fake news is a highly important task in the contemporary world. This study reports the 2nd shared task called UrduFake@FIRE2021 on identifying fake news dete…