Embeddings in Natural Language Processing is popular PDF and ePub book, written by Mohammad Taher Pilehvar in 2020-11-13, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Embeddings in Natural Language Processing can be Read Online from any device for your convenience.
Embeddings in Natural Language Processing Book PDF Summary
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.
Detail Book of Embeddings in Natural Language Processing PDF
- Author : Mohammad Taher Pilehvar
- Release : 13 November 2020
- Publisher : Morgan & Claypool Publishers
- ISBN : 9781636390222
- Genre : Computers
- Total Page : 177 pages
- Language : English
- PDF File Size : 15,7 Mb
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