drive the first few years of modern deep learning NLP and helping to move these models to much higher performance but kind of what might be the issues with them so you know obviously languages a lot more than just the counts of words it has a ton of structure on top of than in addition to words and and furthermore context is very important and these kind of fix static representations of words that we're learning are just insufficient in many cases so you might have for instance three different sentences I went to the riverbank I made