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Elsevier Machine Reading Comprehension: Algorithms and Practice

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Description

Explore the advancements in natural language processing with Machine Reading Comprehension: Algorithms and Practice. This Elsevier publication provides a deep-dive into MRC, a technology that has recently surpassed human parity in several public datasets and is now widely used in search engines and quality assurance systems. This book serves as a comprehensive resource for understanding the complex tasks involved in MRC. It starts with the fundamentals of NLP and deep learning, providing a solid foundation before moving into the specific models and applications that drive this technology. Whether you are studying the theoretical side or looking at practical industry deployment, this volume offers the technical knowledge needed to navigate the evolving landscape of machine reading comprehension.

Key Features

Covers the core fundamentals of Natural Language Processing (NLP) and deep learning to build a strong technical foundation.

Provides a deep-dive into the specific models and tasks that define Machine Reading Comprehension technology.

Explains how MRC is used in industry applications like search engine technology and quality assurance systems.

Discusses the recent advancements where MRC has reached human parity across various public datasets.

Offers a detailed look at the algorithms and practical applications used in modern machine reading comprehension.

Product Specifications

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

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