Knowledge and language understanding of models evaluated through questio...
Large pre-trained language models (LMs) have demonstrated impressive
cap...
Our world is open-ended, non-stationary and constantly evolving; thus wh...
Many advances in Natural Language Processing have been based upon more
e...
We define general linguistic intelligence as the ability to reuse previo...
Natural language processing has made significant inroads into learning t...
We show that dropout training is best understood as performing MAP estim...
Reading comprehension (RC)---in contrast to information retrieval---requ...
Common-sense or background knowledge is required to understand natural
l...
We formulate sequence to sequence transduction as a noisy channel decodi...
We present a novel semi-supervised approach for sequence transduction an...
As recurrent neural networks become larger and deeper, training times fo...
Many language generation tasks require the production of text conditione...
While most approaches to automatically recognizing entailment relations ...
Teaching machines to read natural language documents remains an elusive
...