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Embeddings in Natural Language Processing
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Embeddings in Natural Language Processing

Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). 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.
Alaotsikko
Theory and Advances in Vector Representations of Meaning
ISBN
9783031010491
Kieli
englanti
Paino
310 grammaa
Julkaisupäivä
13.11.2020
Sivumäärä
157