Can someone direct me to research papers that have tried to understand word embeddings?
Lecture notes given by Richard Socher is simple to understand.
word2vec explained gives an intuition how the negative sampling in word embedding works. Not the whole algorithm though.
Nevertheless, there are implementations in various languages and libraries explaining how it works in their docs.
java - deeplearning4j