Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech Recognition

1 code implementation • 6 Nov 2023 • Rabindra Nath Nandi, Mehadi Hasan Menon, Tareq Al Muntasir, Sagor Sarker, Quazi Sarwar Muhtaseem, Md. Tariqul Islam, Shammur Absar Chowdhury, Firoj Alam

Our results demonstrate the efficacy of the model trained on psuedo-label data for the designed test-set along with publicly-available Bangla datasets.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

QCRI at SemEval-2023 Task 3: News Genre, Framing and Persuasion Techniques Detection using Multilingual Models

no code implementations • 5 May 2023 • Maram Hasanain, Ahmed Oumar El-Shangiti, Rabindra Nath Nandi, Preslav Nakov, Firoj Alam

This paper describes our participating system to this task.

Misinformation

Device-friendly Guava fruit and leaf disease detection using deep learning

1 code implementation • 26 Sep 2022 • Rabindra Nath Nandi, Aminul Haque Palash, Nazmul Siddique, Mohammed Golam Zilani

This work presents a deep learning-based plant disease diagnostic system using images of fruits and leaves.

Model Optimization Quantization

TeamX@DravidianLangTech-ACL2022: A Comparative Analysis for Troll-Based Meme Classification

no code implementations • DravidianLangTech (ACL) 2022 • Rabindra Nath Nandi, Firoj Alam, Preslav Nakov

The spread of fake news, propaganda, misinformation, disinformation, and harmful content online raised concerns among social media platforms, government agencies, policymakers, and society as a whole.

Meme Classification Misinformation

Detecting the Role of an Entity in Harmful Memes: Techniques and Their Limitations

1 code implementation • CONSTRAINT (ACL) 2022 • Rabindra Nath Nandi, Firoj Alam, Preslav Nakov

The content that is posted and shared online can be textual, visual, or a combination of both, e. g., in a meme.