Glossary

Glossary

Term Book Chapter Definition
Word2Vec Semantic Vectors and Cognitive Science Chapter 3: Word Embeddings One of the most popular and influential word embedding models, introduced by Tomas Mikolov and his team in 2013. It uses a shallow neural network to learn word embeddings and comes in two main architectures: Continuous Bag of Words (CBOW) and Skip-gram.