Pre-trained Language Models (PLMs) which are trained on large text corpus via self-
supervised learning method, have yielded promising performance on various tasks in …

Large, transformer-based pretrained language models like BERT, GPT, and T5 have
demonstrated a deep understanding of contextual semantics and language syntax. Their …

Smart healthcare systems that make use of abundant health data can improve access to
healthcare services, reduce medical costs and provide consistently high-quality patient care …

In the healthcare domain, medical and patient interactions form a crucial part of the
diagnosis. Initially, the AI models developed for healthcare centered only on monolingual …

Named Entity Recognition (NER) has seen significant progress in recent years, with
numerous state-of-the-art (SOTA) models achieving high performance. However, very few …

Benefiting many information retrieval applications, named entity recognition (NER) has
shown impressive progress. Recently, there has been a growing trend to decompose …

The cultural landscape of interactions with dialogue agents is a compelling yet relatively
unexplored territory. It's clear that various sociocultural aspects--from communication styles …

Recent language models have significantly boosted conversational AI by enabling fast and
cost-effective response generation in dialogue systems. However, dialogue systems based …

In recent years, knowledge-based dialogue generation has garnered significant attention
due to its capacity to produce informative and coherent responses through the integration of …

Current end-to-end neural conversation models inherently lack the capability to generate
coherently engaging responses. Efforts to boost informativeness have an adversarial effect …