Machine Reading Comprehension

Machine Reading Comprehension PDF Author: Chenguang Zhu
Publisher: Elsevier
ISBN: 0323901190
Category : Computers
Languages : en
Pages : 272

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Book Description
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

Machine Reading Comprehension

Machine Reading Comprehension PDF Author: Chenguang Zhu
Publisher: Elsevier
ISBN: 0323901190
Category : Computers
Languages : en
Pages : 272

Get Book

Book Description
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

The Homework Machine

The Homework Machine PDF Author: Dan Gutman
Publisher: Simon and Schuster
ISBN: 1442407093
Category : Juvenile Fiction
Languages : en
Pages : 168

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Book Description
Doing homework becomes a thing of the past! Meet the D Squad, a foursome of fifth graders at the Grand Canyon School made up of a geek, a class clown, a teacher's pet, and a slacker. They are bound together by one very big secret: the homework machine. Because the machine, code-named Belch, is doing their homework for them, they start spending a lot of time together, attracting a lot of attention. And attention is exactly what you don't want when you are keeping a secret. Before long, things start to get out of control, and Belch becomes much more powerful than they ever imagined. Now the kids are in a race against their own creation, and the loser could end up in jail...or worse!

Metaheuristics in Machine Learning: Theory and Applications

Metaheuristics in Machine Learning: Theory and Applications PDF Author: Diego Oliva
Publisher: Springer Nature
ISBN: 3030705420
Category : Computational intelligence
Languages : en
Pages : 765

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Book Description
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.

Chinese Computational Linguistics

Chinese Computational Linguistics PDF Author: Sheng Li
Publisher: Springer Nature
ISBN: 3030841863
Category : Computers
Languages : en
Pages : 488

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Book Description
This book constitutes the proceedings of the 20th China National Conference on Computational Linguistics, CCL 2021, held in Hohhot, China, in August 2021. The 31 full presented in this volume were carefully reviewed and selected from 90 submissions. The conference papers covers the following topics such as Machine Translation and Multilingual Information Processing, Minority Language Information Processing, Social Computing and Sentiment Analysis, Text Generation and Summarization, Information Retrieval, Dialogue and Question Answering, Linguistics and Cognitive Science, Language Resource and Evaluation, Knowledge Graph and Information Extraction, and NLP Applications.

Natural Language Processing and Chinese Computing

Natural Language Processing and Chinese Computing PDF Author: Lu Wang
Publisher: Springer Nature
ISBN: 3030884805
Category : Computers
Languages : en
Pages : 861

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Book Description
This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021. The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series

Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series PDF Author: Igor V. Tetko
Publisher: Springer Nature
ISBN: 3030304906
Category : Computers
Languages : en
Pages : 761

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Book Description
The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions.

Data Intelligence and Cognitive Informatics

Data Intelligence and Cognitive Informatics PDF Author: I. Jeena Jacob
Publisher: Springer Nature
ISBN: 981158530X
Category : Technology & Engineering
Languages : en
Pages : 916

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Book Description
This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2020), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during 8–9 July 2020. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.

Advances in Computational Collective Intelligence

Advances in Computational Collective Intelligence PDF Author: Krystian Wojtkiewicz
Publisher: Springer
ISBN: 9783030881122
Category : Computers
Languages : en
Pages : 729

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Book Description
This book constitutes refereed proceedings of the 13th International Conference on International Conference on Computational Collective Intelligence, ICCCI 2021, held in Kallithea, Rhodes, Greece, in October - November 2021. Due to the the COVID-19 pandemic the conference was held online. The 44 full papers and 14 short papers were thoroughly reviewed and selected from 231 submissions. The papers are organized according to the following topical sections: ​​social networks and recommender systems; collective decision-making; computer vision techniques; innovations in intelligent systems; cybersecurity intelligent methods; data mining and machine learning; machine learning in real-world data; Internet of Things and computational technologies for collective intelligence; smart industry and management systems; low resource languages processing; computational intelligence for multimedia understanding.

Bilingual Reading Comprehension, Grade 2

Bilingual Reading Comprehension, Grade 2 PDF Author:
Publisher: Carson-Dellosa Publishing
ISBN: 0768235022
Category : Juvenile Nonfiction
Languages : es
Pages : 160

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Book Description
Build better readers in bilingual classrooms! Bilingual Reading Comprehension is a valuable resource for bilingual, two-way immersion in second-grade classrooms. This book provides bilingual reading practice for students through identical activities featured in English and Spanish, allowing the teacher to tailor lessons to a dual-language classroom. Fiction and nonfiction activities reinforce essential reading skills, such as finding the main idea, identifying supporting details, recognizing story elements, and learning new vocabulary. This 160-page book aligns with Common Core State Standards, as well as state and national standards.

Knowledge-enhanced Neural Networks for Machine Reading Comprehension

Knowledge-enhanced Neural Networks for Machine Reading Comprehension PDF Author: Todor Mihaylov
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description