32.66, Books: Embeddings in Natural Language Processing: Pilehvar, Camacho-Collados

[The LINGUIST List]

LINGUIST List: Vol-32-66. Tue Jan 05 2021. ISSN: 1069 - 4875.

Subject: 32.66, Books: Embeddings in Natural Language Processing: Pilehvar, Camacho-Collados

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Date: Tue, 05 Jan 2021 20:35:49
From: Brent Beckley [beckley at morganclaypool.com]
Subject: Embeddings in Natural Language Processing: Pilehvar, Camacho-Collados

 


Title: Embeddings in Natural Language Processing 
Subtitle: Theory and Advances in Vector Representations of Meaning 
Series Title: Human Language Technologies  

Publication Year: 2020 
Publisher: Morgan & Claypool Publishers
	   http://www.morganclaypool.com
	

Book URL: https://www.morganclaypoolpublishers.com/catalog_Orig/product_info.php?products_id=1600 


Author: Mohammad Taher Pilehvar
Author: Jose Camacho-Collados

Electronic: ISBN:  9781636390222 Pages: 176 Price: U.S. $ 51.96
Hardback: ISBN:  9781636390239 Pages: 176 Price: U.S. $ 84.95
Paperback: ISBN:  9781636390215 Pages: 176 Price: U.S. $ 64.95


Abstract:

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.
 



Linguistic Field(s): Computational Linguistics


Written In: English  (eng)

See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=150493




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