no code implementations • ICON 2021 • Kunal Pagarey, Kanika Kalra, Abhay Garg, Saumajit Saha, Mayur Patidar, Shirish Karande
We explore the ability of pre-trained language models BART, an encoder-decoder model, GPT2 and GPT-Neo, both decoder-only models for generating sentences from structured MR tags as input.
no code implementations • ICON 2021 • Saumajit Saha, Kanika Kalra, Manasi Patwardhan, Shirish Karande
We consider the task of automatically classifying the persuasion strategy employed by an utterance in a dialog.
no code implementations • ICON 2019 • Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, Pushpak Bhattacharyya
In this paper we present a deep multi-task learning framework for multilingual event and argument trigger detection and classification.
no code implementations • 16 Oct 2023 • Saumajit Saha, Albert Nanda
This paper presents the system that we have developed while solving this shared task on violence inciting text detection in Bangla.
1 code implementation • 13 Oct 2023 • Saumajit Saha, Albert Nanda
Bangla is the 7th most widely spoken language globally, with a staggering 234 million native speakers primarily hailing from India and Bangladesh.
no code implementations • 11 Jul 2023 • Kunal Suri, Prakhar Mishra, Saumajit Saha, Atul Singh
Finetuning Large Language Models helps improve the results for domain-specific use cases.
no code implementations • LREC 2020 • Sovan Kumar Sahoo, Saumajit Saha, Asif Ekbal, Pushpak Bhattacharyya
In this paper, we present an Event Extraction framework for Hindi language by creating an annotated resource for benchmarking, and then developing deep learning based models to set as the baselines.