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Knowledge grounded medical dialogue generation using augmented graphs
by
Varshney, Deeksha
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Zafar, Aizan
,
Behera, Niranshu Kumar
,
Ekbal, Asif
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Scientific reports
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Knowledge graph assisted end-to-end medical dialog generation
by
Varshney, Deeksha
,
Zafar, Aizan
,
Behera, Niranshu Kumar
,
Ekbal, Asif
Published in
Artificial intelligence in medicine
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End to End Sign Language Translation via Multitask Learning
by
Bandyopadhyay, Dibyanayan
,
Zafar, Aizan
,
Ekbal, Asif
,
Hasanuzzaman, Mohammed
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KI-MAG: A knowledge-infused abstractive question answering system in medical domain
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Zafar, Aizan
,
Sahoo, Sovan Kumar
,
Bhardawaj, Harsh
,
Das, Amitava
,
Ekbal, Asif
Published in
Neurocomputing (Amsterdam)
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KIMedQA: towards building knowledge-enhanced medical QA models
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Zafar, Aizan
,
Sahoo, Sovan Kumar
,
Varshney, Deeksha
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Das, Amitava
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Ekbal, Asif
Published in
Journal of intelligent information systems
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Are my answers medically accurate? Exploiting medical knowledge graphs for medical question answering
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Zafar, Aizan
,
Varshney, Deeksha
,
Kumar Sahoo, Sovan
,
Das, Amitava
,
Ekbal, Asif
Published in
Applied intelligence (Dordrecht, Netherlands)
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MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical Structures
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Aizan Zafar
,
Mishra, Kshitij
,
Ekbal, Asif
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arXiv.org
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CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation
by
Varshney, Deeksha
,
Aizan Zafar
,
Behra, Niranshu Kumar
,
Ekbal, Asif
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arXiv.org
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