Knowledge graph assisted end-to-end medical dialog generation

D Varshney, A Zafar, NK Behera, A Ekbal - Artificial Intelligence in Medicine, 2023 - Elsevier
Medical dialog systems have the potential to assist e-medicine in improving access to
healthcare services, improving patient treatment quality, and lowering medical expenses. In …

MedProm: Bridging Dialogue Gaps in Healthcare with Knowledge-Enhanced Generative Models

D Varshney, N Behera, P Katari, A Ekbal - ACM Transactions on …, 2025 - dl.acm.org
In medical dialogue systems, recent advancements underscore the critical role of
incorporating relevant medical knowledge to enhance performance. However, existing …

MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical Structures

A Zafar, K Mishra, A Ekbal - arXiv preprint arXiv:2410.15463, 2024 - arxiv.org
In Medical question-answering (QA) tasks, the need for effective systems is pivotal in
delivering accurate responses to intricate medical queries. However, existing approaches …

Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferences

J Atuhurra, H Kamigaito - arXiv preprint arXiv:2404.08666, 2024 - arxiv.org
Natural language processing (NLP) has grown significantly since the advent of the
Transformer architecture. Transformers have given birth to pre-trained large language …

Knowledge-enhanced Response Generation in Dialogue Systems: Current Advancements and Emerging Horizons

P Priya, D Varshney, M Firdaus… - Proceedings of the 2024 …, 2024 - aclanthology.org
This tutorial provides an in-depth exploration of Knowledge-enhanced Dialogue Systems
(KEDS), diving into their foundational aspects, methodologies, advantages, and practical …

Operationalizing Empathic and Supportive Communication in Natural Language Processing

AC Lahnala - 2025 - bonndoc.ulb.uni-bonn.de
Empathic communication is a significant aspect of support and health-oriented interactions.
Theoretical models for clinical and counseling conversations outline its role in fostering …