Embeddings in Natural Language Processing

Name: Embeddings in Natural Language Processing
Brand: Springer International Publishing AG
SKU: 9783031010491
Price: 56.73 EUR
Availability: InStock

Автор: Mohammad Taher Pilehvar

Език:

Корици: С меки корици

Издател: Springer International Publishing AG

Наличност: Външен склад

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56.73 € 110.96 лв

Embeddings have undoubtedly been one of the most influential research areas in Natural Language Proc...

Информация за книгата

Автор

Mohammad Taher Pilehvar

Език

Английски език

Корици

Книга - С меки корици

Издадена

2020

страници

157

EAN

9783031010491

ISBN

3031010493

Enbook ID

39298407

Издател

Springer International Publishing AG

Теглоt

344

Размери

191 x 235 x 10

Пълно описание

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 in Natural Language Processing

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Пълно описание

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