The advancement of machine learning and symbolic approaches have underscored their
strengths and weaknesses in Natural Language Processing (NLP). While machine learning …

The internet has had a dramatic effect on the healthcare industry, allowing documents to be
saved, shared, and managed digitally. This has made it easier to locate and share important …

Recently neural network based approaches to knowledge-intensive NLP tasks, such as
question answering, started to rely heavily on the combination of neural retrievers and …

Although masked language models are highly performant and widely adopted by NLP
practitioners, they can not be easily used for autoregressive language modelling (next word …

Recently neural network based approaches to knowledge-intensive NLP tasks, such as
question answering, started to rely heavily on the combination of neural retrievers and …

In the era of data proliferation, efficiently navigating and extracting insights from complex
document collections is paramount across various sectors. Traditional methods for …