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Embeddings in Natural Language Processing

- Theory and Advances in Vector Representations of Meaning
Af: Jose Camacho-Collados, Mohammad Taher Pilehvar Engelsk Paperback

Embeddings in Natural Language Processing

- Theory and Advances in Vector Representations of Meaning
Af: Jose Camacho-Collados, Mohammad Taher Pilehvar Engelsk Paperback
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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.
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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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 157
ISBN-13: 9783031010491
Indbinding: Paperback
Udgave:
ISBN-10: 3031010493
Kategori: Naturligt sprog og maskinoversættelse
Udg. Dato: 13 nov 2020
Længde: 0mm
Bredde: 191mm
Højde: 235mm
Forlag: Springer International Publishing AG
Oplagsdato: 13 nov 2020
Forfatter(e): Jose Camacho-Collados, Mohammad Taher Pilehvar
Forfatter(e) Jose Camacho-Collados, Mohammad Taher Pilehvar

Kategori Naturligt sprog og maskinoversættelse

ISBN-13 9783031010491

Sprog Engelsk

Indbinding Paperback

Sider 157

Udgave

Længde 0mm

Bredde 191mm

Højde 235mm

Udg. Dato 13 nov 2020

Oplagsdato 13 nov 2020

Forlag Springer International Publishing AG