no code implementations • LTEDI (ACL) 2022 • Fazlourrahman Balouchzahi, Sabur Butt, Grigori Sidorov, Alexander Gelbukh
Hope is an inherent part of human life and essential for improving the quality of life.
no code implementations • 8 Apr 2024 • Atnafu Lambebo Tonja, Fazlourrahman Balouchzahi, Sabur Butt, Olga Kolesnikova, Hector Ceballos, Alexander Gelbukh, Thamar Solorio
The paper focuses on the marginalization of indigenous language communities in the face of rapid technological advancements.
no code implementations • 29 Jan 2024 • Renuka Sharma, Sushama Nagpal, Sangeeta Sabharwal, Sabur Butt
We use a pre-trained BERT model to generate word embeddings for the Hindi dataset and also compare deep learning models with conventional machine learning models in order to demonstrate accuracy.
no code implementations • 29 Jan 2024 • Sabur Butt, Fazlourrahman Balouchzahi, Abdul Gafar Manuel Meque, Maaz Amjad, Hector G. Ceballos Cancino, Grigori Sidorov, Alexander Gelbukh
The intricate relationship between human decision-making and emotions, particularly guilt and regret, has significant implications on behavior and well-being.
no code implementations • 14 Dec 2022 • Fazlourrahman Balouchzahi, Sabur Butt, Grigori Sidorov, Alexander Gelbukh
In this paper, we present a study of regret and its expression on social media platforms.
no code implementations • 11 Jul 2022 • Maaz Amjad, Sabur Butt, Hamza Imam Amjad, Grigori Sidorov, Alisa Zhila, Alexander Gelbukh
This study reports the second shared task named as UrduFake@FIRE2021 on identifying fake news detection in Urdu language.
no code implementations • 11 Jul 2022 • Maaz Amjad, Sabur Butt, Hamza Imam Amjad, Alisa Zhila, Grigori Sidorov, Alexander Gelbukh
Admittedly, while training sets from the past and the current years overlap to a large extent, the testing set provided this year is completely different.
no code implementations • 9 Nov 2021 • Sabur Butt, Shakshi Sharma, Rajesh Sharma, Grigori Sidorov, Alexander Gelbukh
In the descriptive line of works, where researchers have tried to analyse rumours using NLP approaches, there isnt much emphasis on psycho-linguistics analyses of social media text.