Embeddings in Natural Language Processing

Name: Embeddings in Natural Language Processing
Brand: Springer International Publishing AG
SKU: 9783031010491
Price: 21178 HUF
Availability: InStock

Szerző: Mohammad Taher Pilehvar

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer International Publishing AG

Elérhetőség: Beszállítói készleten

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

Információk a könyvről

Szerző

Mohammad Taher Pilehvar

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2020

oldal

157

EAN

9783031010491

ISBN

3031010493

Enbook ID

39298407

Kiadó

Springer International Publishing AG

Súly

344

Méretek

191 x 235 x 10

Teljes leírás

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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