
- 270 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
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 theoretical treatment to solutions and gives detailed analysis of code, and considers applications in real-world industry. The book includes basic concepts, tasks, datasets, NLP tools, deep learning models and architecture, and insight from hands-on experience. In addition, the title presents the latest advances from the past two years of research. Structured into three sections and eight chapters, this book presents the basis of MRC; MRC models; and hands-on issues in application. This book offers a comprehensive solution for researchers in industry and academia who are looking to understand and deploy machine reading comprehension within natural language processing.
- Presents the first comprehensive resource on machine reading comprehension (MRC)
- Performs a deep-dive into MRC, from fundamentals to latest developments
- Offers the latest thinking and research in the field of MRC, including the BERT model
- Provides theoretical discussion, code analysis, and real-world applications of MRC
- Gives insight from research which has led to surpassing human parity in MRC
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Machine Reading Comprehension by Chenguang Zhu in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- About the author
- Foreword by Xuedong Huang
- Foreword by Zide Du
- Preface
- Recommendation
- Part I: Foundation
- Part II: Architecture
- Part III: Application
- Appendix A. Machine learning basics
- Appendix B. Deep learning basics
- Index