Provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense.
The book starts by explaining conventional word vector space models and word embeddings (e.
, Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings.
Morgan & Claypool Publishers Embeddings in natural language processing. theory and advances in vector representations of meaning, hardback/jose camacho-collados
