no code implementations • MMTLRL (RANLP) 2021 • Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal
In this paper, we evaluate the existing methods on Hindi and report our findings.
no code implementations • LREC 2022 • Dibyanayan Bandyopadhyay, Arkadipta De, Baban Gain, Tanik Saikh, Asif Ekbal
We perform experiments on English-Hindi language pairs in the cross-lingual setting to find out that our novel loss formulation could enhance the performance of the baseline model by up to 2%.
no code implementations • 13 Dec 2023 • Samrat Mukherjee, Dibyanayan Bandyopadhyay, Baban Gain, Asif Ekbal
Diabetic Retinopathy (DR) is a prevalent illness associated with Diabetes which, if left untreated, can result in irreversible blindness.
1 code implementation • 30 Aug 2023 • Baban Gain, Dibyanayan Bandyopadhyay, Samrat Mukherjee, Chandranath Adak, Asif Ekbal
Interestingly, the effect of visual context varies with source text noise: no visual context works best for non-noisy translations, cropped image features are optimal for low noise, and full image features work better in high-noise scenarios.
no code implementations • ACL (WAT) 2021 • Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal
Neural Machine Translation (NMT) is a predominant machine translation technology nowadays because of its end-to-end trainable flexibility.
no code implementations • 24 May 2021 • Baban Gain, Dibyanayan Bandyopadhyay, Arkadipta De, Tanik Saikh, Asif Ekbal
The outcomes of this track would be helpful for the automation of the working process of the Indian Judiciary System.
1 code implementation • 17 Apr 2021 • Baban Gain, Dibyanayan Bandyopadhyay, Tanik Saikh, Asif Ekbal
We make use of different Information Retrieval(IR) and deep learning based approaches to tackle these problems.
no code implementations • WS 2019 • Dibyanayan Bandyopadhyay, Baban Gain, Tanik Saikh, Asif Ekbal
We submitted five system results in each of the NLI and RQE tasks, and four system results for the QA task.