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Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning - Synthesis Lectures on Human Language Technologies
Mohammad Taher Pilehvar
Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning - Synthesis Lectures on Human Language Technologies
Mohammad Taher Pilehvar
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.
157 pages, XVIII, 157 p.
Media | Books Paperback Book (Book with soft cover and glued back) |
Released | November 13, 2020 |
ISBN13 | 9783031010491 |
Publishers | Springer International Publishing AG |
Pages | 157 |
Dimensions | 344 g |
Language | English |
See all of Mohammad Taher Pilehvar ( e.g. Paperback Book and Hardcover Book )