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Elsevier Machine Reading Comprehension: Algorithms and Practice - Elsevier

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Description

Machine Reading Comprehension: Algorithms and Practice is a comprehensive guide to one of natural language processing's most transformative technologies. This Elsevier volume explores how machines understand and extract meaning from text, a capability that now matches human performance on major benchmarks and powers real-world applications in search engines and quality assurance systems. The book bridges theory and practice, beginning with essential foundations in natural language processing and deep learning before progressing to the core concepts, models, and practical applications of machine reading comprehension. Whether you are an AI researcher, machine learning engineer, or student seeking to understand how modern NLP systems work, this resource provides both the algorithmic insights and hands-on knowledge needed to work with cutting-edge MRC technologies. The structured approach makes complex concepts accessible whilst maintaining the depth required for serious practitioners in artificial intelligence.

Key Features

Covers machine reading comprehension fundamentals alongside natural language processing and deep learning essentials for comprehensive understanding.

Explores MRC models and algorithms that achieve human-level performance on major datasets, demonstrating state-of-the-art capabilities.

Details real-world machine reading comprehension applications deployed by industry in search engines and quality assurance workflows.

Published by Elsevier with rigorous academic content suitable for researchers, engineers, and advanced students in AI and machine learning.

Progresses from theoretical foundations through practical implementations, enabling readers to understand and apply MRC technologies effectively.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
01 April 2021
Listed Since
18 November 2020

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