Information Extraction from scientific literature can be challenging due...
Non-hierarchical sparse attention Transformer-based models, such as
Long...
We report Tensorial Tomographic Differential Phase-Contrast microscopy
(...
The recent literature in text classification is biased towards short tex...
Domain adaptive pretraining, i.e. the continued unsupervised pretraining...
The growth rate in the amount of biomedical documents is staggering.
Unl...
The recognition and normalization of clinical information, such as tumor...
Simple yet effective data augmentation techniques have been proposed for...
Recent studies on domain-specific BERT models show that effectiveness on...
Unlike widely used Named Entity Recognition (NER) data sets in generic
d...
Named entity recognition (NER) is widely used in natural language proces...
Word vectors and Language Models (LMs) pretrained on a large amount of
u...