Search Results - "Gain, Baban"

A Case Study on Context-Aware Neural Machine Translation with Multi-Task Learning by Appicharla, Ramakrishna, Gain, Baban, Pal, Santanu, Ekbal, Asif, Bhattacharyya, Pushpak

“…In document-level neural machine translation (DocNMT), multi-encoder approaches are common in encoding context and source sentences. Recent studies…”
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Universal Adversarial Framework to Improve Adversarial Robustness for Diabetic Retinopathy Detection by Mukherjee, Samrat, Bandyopadhyay, Dibyanayan, Gain, Baban, Ekbal, Asif

“…Diabetic Retinopathy (DR) is a prevalent illness associated with Diabetes which, if left untreated, can result in irreversible blindness. Deep Learning based…”
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Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages by Gain, Baban, Bandyopadhyay, Dibyanayan, Mukherjee, Samrat, Adak, Chandranath, Ekbal, Asif

“…The study investigates the effectiveness of utilizing multimodal information in Neural Machine Translation (NMT). While prior research focused on using…”
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A Case Study on Context Encoding in Multi-Encoder based Document-Level Neural Machine Translation by Appicharla, Ramakrishna, Gain, Baban, Pal, Santanu, Ekbal, Asif

“…Recent studies have shown that the multi-encoder models are agnostic to the choice of context, and the context encoder generates noise which helps improve the…”
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Not All Contexts are Important: The Impact of Effective Context in Conversational Neural Machine Translation by Gain, Baban, Haque, Rejwanul, Ekbal, Asif

“…Multilingual chat systems are the need of the hour for organizations who render online conversational services to their customers. This can effectively be…”
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IITP at WAT 2021: System description for English-Hindi Multimodal Translation Task by Gain, Baban, Bandyopadhyay, Dibyanayan, Ekbal, Asif

“…Neural Machine Translation (NMT) is a predominant machine translation technology nowadays because of its end-to-end trainable flexibility. However, NMT still…”
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Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards by Gain, Baban, Appicharla, Ramakrishna, Chennabasavaraj, Soumya, Garera, Nikesh, Ekbal, Asif, Chelliah, Muthusamy

“…Community Question-Answering (CQA) portals serve as a valuable tool for helping users within an organization. However, making them accessible to…”
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IITP@COLIEE 2019: Legal Information Retrieval using BM25 and BERT by Gain, Baban, Bandyopadhyay, Dibyanayan, Saikh, Tanik, Ekbal, Asif

“…Natural Language Processing (NLP) and Information Retrieval (IR) in the judicial domain is an essential task. With the advent of availability domain-specific…”
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IITP at AILA 2019: System Report for Artificial Intelligence for Legal Assistance Shared Task by Gain, Baban, Bandyopadhyay, Dibyanayan, De, Arkadipta, Saikh, Tanik, Ekbal, Asif

“…In this article, we present a description of our systems as a part of our participation in the shared task namely Artificial Intelligence for Legal Assistance…”
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IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering by Bandyopadhyay, Dibyanayan, Gain, Baban, Saikh, Tanik, Ekbal, Asif

“…This paper presents the experiments accomplished as a part of our participation in the MEDIQA challenge, an (Abacha et al., 2019) shared task. We participated…”
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