Search Results for author: Alisa Zhila

Found 9 papers, 1 papers with code

Overview of Abusive and Threatening Language Detection in Urdu at FIRE 2021

1 code implementation14 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.

Abusive Language Binary Classification

UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu

no code implementations11 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.

Binary Classification Fake News Detection

Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021

no code implementations11 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.

Binary Classification Fake News Detection

Data Augmentation using Machine Translation for Fake News Detection in the Urdu Language

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.

Data Augmentation Fake News Detection +2

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