What is missing from current NLU systems?
Unsupervised representation learning (both autoregressive and autoencoding) has been highly successful in NLP. So much so that researchers are coming up with new datasets or coming up with stricter guidelines to make room for future research. RECLOR is a recent dataset that uses questions present in standardized exams like GMAT to check the logical reasoning…