Artificial Intelligence, Data Science, Machine Learning, Deep Learning, NLP.
learning systems. Dense vectors also imply fewer parameters to estimate. If we train a classifier on a binary prediction task “Is word w likely to show up near v?”, then we can use the learned classifier weights as the word embeddings. These become continuous vector representations of words