Learning template based information extraction from documents is a cruci...
Scarcity of data and technological limitations for resource-poor languag...
The COVID-19 pandemic has brought out both the best and worst of languag...
In this paper, we propose a general framework for mitigating the dispari...
This paper studies the end-to-end construction of an NLP Knowledge Graph...
Healthcare predictive analytics aids medical decision-making, diagnosis
...
Entity linking (or Normalization) is an essential task in text mining th...
Traditional biomedical version of embeddings obtained from pre-trained
l...
Off-the-shelf biomedical embeddings obtained from the recently released
...
An active learning (AL) algorithm seeks to construct an effective classi...