Embeddings in Natural Language Processing

Language: English

Published by Springer, Springer Nov 2020, 2020

3031010493 / 9783031010491

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This item is printed on demand - Print on Demand Titel. Neuware -Embeddings have undoubtedly been one of the most influential research areas in Natural Language Processing (NLP). Encoding information into a low-dimensional vector representation, which is easily integrable in modern machine learning models, has played a central role in the development of NLP. Embedding techniques initially focused on words, but the attention soon started to shift to other forms: from graph structures, such as knowledge bases, to other types of textual content, such as sentences and documents. This book 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. The book also provides an overview of recent developments in contextualized representations (e.g., ELMo and BERT) and explains their potential in NLP. Throughout the book, the reader can find both essential information for understanding a certain topic from scratch and a broad overview of the most successful techniques developed in the literature.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 176 pp. Englisch.

Seller Inventory # 9783031010491

Title
Embeddings in Natural Language Processing
Author
Mohammad Taher Pilehvar
Publisher
Springer, Springer Nov 2020
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031010493
ISBN 13
9783031010491
Item weight
341 grams
Dimensions
235x191x10 mm

buchversandmimpf2000

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