11 citations · 26 across the 10 of their papers we have counts for
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Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation
Humair Raj Khan, Deepak Gupta, Asif Ekbal
Pre-trained language-vision models have shown remarkable performance on the visual question answering (VQA) task. However, most pre-trained models are trained by only considering m…
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
Shweta Yadav, Deepak Gupta, Asma Ben Abacha +1
The growth of online consumer health questions has led to the necessity for reliable and accurate question answering systems. A recent study showed that manual summarization of con…
Question-aware Transformer Models for Consumer Health Question Summarization
Shweta Yadav, Deepak Gupta, Asma Ben Abacha +1
Searching for health information online is becoming customary for more and more consumers every day, which makes the need for efficient and reliable question answering systems more…
Domain Controlled Title Generation with Human Evaluation
Abdul Waheed, Muskan Goyal, Nimisha Mittal +1
We study automatic title generation and present a method for generating domain-controlled titles for scientific articles. A good title allows you to get the attention that your res…
Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
Deepak Gupta, Rajkumar Pujari, Asif Ekbal +4
In this paper, we propose a hybrid technique for semantic question matching. It uses our proposed two-layered taxonomy for English questions by augmenting state-of-the-art deep lea…
Hierarchical Deep Multi-modal Network for Medical Visual Question Answering
Deepak Gupta, Swati Suman, Asif Ekbal
Visual Question Answering in Medical domain (VQA-Med) plays an important role in providing medical assistance to the end-users. These users are expected to raise either a straightf…