Modelling irregularly-sampled time series (ISTS) is challenging because ...
Pretrained embeddings based on the Transformer architecture have taken t...
Word embeddings have advanced the state of the art in NLP across numerou...
Can language models learn grounded representations from text distributio...
Contextualized word embeddings, i.e. vector representations for words in...
Defining words in a textual context is a useful task both for practical
...