Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning - Synthesis Lectures on Human Language Technologies - Mohammad Taher Pilehvar - Books - Springer International Publishing AG - 9783031010491 - November 13, 2020
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Mohammad Taher Pilehvar
Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning - Synthesis Lectures on Human Language Technologies

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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 150 × 220 × 10 mm   ·   344 g
Language English  

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