Machine reading comprehension algorithms and practice / Chenguang Zhu, Microsoft Corporation, Redmond, WA, United States.
| Author/creator | Zhu, Chenguang |
| Format | Electronic |
| Publication Info | Amsterdam : Elsevier, |
| Description | xxii, 248 pages : illustrations ; 23 cm |
| Supplemental Content | Full text available from eBook - Mathematics and Computing 2021 [EBCMC21] |
| Subjects |
| Contents | Introduction to machine reading comprehension -- The basics of natural language processing -- Deep learning in natural language processing -- Architecture of machine reading comprehension models -- Common machine reading comprehension models -- Pretrained language models -- Code analysis of the SDNet model -- Applications and future of machine reading comprehension. |
| Abstract | Presents the fundamentals of natural language processing (NLP) and deep learning, before introducing the task, models, and applications of MRC. This book provides theoretical treatment to solutions, gives detailed analysis of code, and considers applications in real-world industry.-- Source other than the Library of Congress. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Issued in other form | ebook version : 9780323901192 |
| Genre/form | Electronic books. |
| LCCN | 2021443482 |
| ISBN | 9780323901185 |
| ISBN | 0323901182 |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |