The popularity of online social networks has enabled rapid dissemination...
Recent studies on domain-specific BERT models show that effectiveness on...
Promptly and accurately answering questions on products is important for...
Computer users are generally faced with difficulties in making correct
s...
As communities represent similar opinions, similar functions, similar
pu...
Unlike widely used Named Entity Recognition (NER) data sets in generic
d...
We address the issue of having a limited number of annotations for stanc...
While most image captioning aims to generate objective descriptions of
i...
Benefiting from advances in machine vision and natural language processi...
Distributed representations of text can be used as features when trainin...
Personal health mention detection deals with predicting whether or not a...
We identify agreement and disagreement between utterances that express
s...
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...
There has been much recent work on image captioning models that describe...
Android users are increasingly concerned with the privacy of their data ...
In stance classification, the target on which the stance is made defines...
Finding relevant literature underpins the practice of evidence-based
med...
The practice of evidence-based medicine (EBM) urges medical practitioner...