Analysing historical patterns of artificial intelligence (AI) adoption c...
Information Extraction from scientific literature can be challenging due...
Recent studies on domain-specific BERT models show that effectiveness on...
Finding answers related to a pandemic of a novel disease raises new
chal...
Unlike widely used Named Entity Recognition (NER) data sets in generic
d...
Distributed representations of text can be used as features when trainin...
Personal health mention detection deals with predicting whether or not a...
Named entity recognition (NER) is widely used in natural language proces...
Word vectors and Language Models (LMs) pretrained on a large amount of
u...
Epidemic intelligence deals with the detection of disease outbreaks usin...
Finding relevant literature underpins the practice of evidence-based
med...
Social media is becoming an increasingly important source of information...