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Machine Reading Comprehension Algorithms and Practice Zhu Paperback Elsevier

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Product Description

Machine Reading Comprehension

Algorithms and Practice

Presents, for the first time, detailed treatment of machine reading comprehension (MRC), a key technology within natural language processing (NLP), giving basics, models, and hands-on issues in application

Chenguang Zhu (Author)

9780323901185

Paperback / softback, published 26 March 2021

270 pages

22.9 x 15.2 x 1.8 cm, 0.45 kg

Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP). MRC has recently advanced significantly, surpassing human parity in several public datasets. It has also been widely deployed by industry in search engine and quality assurance systems. Machine Reading Comprehension: Algorithms and Practice performs a deep-dive into MRC, offering a resource on the complex tasks this technology involves. The title presents the fundamentals of NLP and deep learning, before introducing the task, models, and applications of MRC. This volume gives theoretic]

Machine Reading Comprehension Algorithms and Practice Zhu Paperback Elsevier

Machine Reading Comprehension

Algorithms and Practice

Presents, for the first time, detailed treatment of machine reading comprehension (MRC), a key technology within natural language processing (NLP), giving basics, models, and hands-on issues in application

Chenguang Zhu (Author)

9780323901185

Paperback / softback, published 26 March 2021

270 pages

22.9 x 15.2 x 1.8 cm, 0.45 kg

Machine reading comprehension (MRC) is a cutting-edge technology in natural language processing (NLP). MRC has recently advanced significantly, surpassing human parity in several public datasets. It has also been widely deployed by industry in search engine and quality assurance systems. Machine Reading Comprehension: Algorithms and Practice performs a deep-dive into MRC, offering a resource on the complex tasks this technology involves. The title presents the fundamentals of NLP and deep learning, before introducing the task, models, and applications of MRC. This volume gives theoretic]

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