Embeddings in Natural Language ProcessingAuthor :
Paperback
Published : Monday 30 November 2020
Description
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.g., Word2Vec and GloVe) and then moves to other types of embeddings, such as word sense, sentence and document, and graph embeddings.
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