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 • 25 Jul 2022 • Maaz Amjad, Grigori Sidorov, Alisa Zhila, Alexander Gelbukh, Paolo Rosso
This overview paper describes the first shared task on fake news detection in Urdu language.
no code implementations • 25 Jul 2022 • Maaz Amjad, Grigori Sidorov, Alisa Zhila, Alexander Gelbukh, Paolo Rosso
This paper gives the overview of the first shared task at FIRE 2020 on fake news detection in the Urdu language.
1 code implementation • 14 Jul 2022 • Maaz Amjad, Alisa Zhila, Grigori Sidorov, Andrey Labunets, Sabur Butta, Hamza Imam Amjad, Oxana Vitman, Alexander Gelbukh
In this paper, we present two shared tasks of abusive and threatening language detection for the Urdu language which has more than 170 million speakers worldwide.
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 • LREC 2020 • Maaz Amjad, Grigori Sidorov, Alisa Zhila
As the fake news phenomenon is omnipresent across all languages, it is crucial to be able to efficiently solve this problem for languages other than English.
no code implementations • 22 May 2018 • Maaz Amjad, fariha Bukhari, Iqra Ameer, Alexander Gelbukh
The objective to use soft expert system is to predict the risk level of a patient having dengue fever by using input variables like age, TLC, SGOT, platelets count and blood pressure.