Download or read book Machine Reading Comprehension written by Chenguang Zhu and published by Elsevier. This book was released on 2021-03-20 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book The Homework Machine written by Dan Gutman and published by Simon and Schuster. This book was released on 2009-10-27 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

Download or read book Metaheuristics in Machine Learning Theory and Applications written by Diego Oliva and published by Springer Nature. This book was released on with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Chinese Computational Linguistics written by Sheng Li and published by Springer Nature. This book was released on 2021-08-07 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Training Datasets for Machine Reading Comprehension and Their Limitations written by Johannes Welbl and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Neural Networks and Machine Learning ICANN 2019 Text and Time Series written by Igor V. Tetko and published by Springer Nature. This book was released on 2019-09-09 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Data Intelligence and Cognitive Informatics written by I. Jeena Jacob and published by Springer Nature. This book was released on 2021-01-08 with total page 916 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Natural Language Processing and Chinese Computing written by Lu Wang and published by Springer Nature. This book was released on 2021-10-11 with total page 861 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Machine Reading Comprehension written by Kai Sun and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine reading comprehension (MRC) tasks have attracted substantial attention from both academia and industry. These tasks require a machine reader to answer questions relevant to a given document provided as input. In this dissertation, we mainly focus on non-extractive MRC, in which a significant percentage of candidate answers are not restricted to text spans from the reference document or corpus. In comparison to extractive MRC tasks, non-extractive MRC tasks contain a significant percentage of questions focusing on the implicitly expressed facts, events, opinions, or emotions in the given text, requiring diverse types of world knowledge (e.g., commonsense, paraphrase, and arithmetic knowledge) and advanced reading skills (e.g., logical reasoning, summarization, and sentiment analysis). This dissertation presents our work in exploring new challenges and approaches for non-extractive MRC. Specifically, on the challenge side, we create the first MRC dataset that focuses on in-depth multi-turn multi-party dialogue understanding and the first free-form multiple-choice Chinese MRC dataset that requires various kinds of prior knowledge. On the approach side, we propose three general reading strategies and a method of utilizing contextualized knowledge to improve non-extractive MRC. We find our datasets to be very challenging for reading comprehension systems and our approaches to be empirically effective on representative non-extractive MRC tasks.

Download or read book Min Makes a Machine written by Emily Arnold McCully and published by Holiday House. This book was released on 2018-07-17 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Budding engineer Min uses her skills to save the day in this Level E easy reader, perfect for Kindergarten students to read on their own! Min wants to play, but Ann and Bess say it's too hot to do anything. Min waves a fan, but it doesn't help at all. What's a girl to do? There's a pool, but it's empty—but clever Min finds a nearby well with some water in it. A tube, a hose, some glue, and a good idea later, Min builds a machine to draw water out of the well and into the pool. Splash! Thanks to Min, all the girls can play in the pool! Caldecott Medalist Emily Arnold McCully has created a fun tale about creative problem-solving, with simple text for emerging readers and bright illustrations depicting Min's creation of an Archimedes screw to add extra detail. For more of Min's adventures, check out 3, 2, 1, Go! in which Min builds a catapult. A Junior Library Guild selection! The award-winning I Like to Read® series focuses on guided reading levels A through G, based upon Fountas and Pinnell standards. Acclaimed author-illustrators--including winners of Caldecott, Theodor Seuss Geisel, and Coretta Scott King honors—create original, high quality illustrations that support comprehension of simple text and are fun for kids to read with parents, teachers, or on their own! Level E stories feature a distinct beginning, middle, and end, with kid-friendly illustrations offering clues for more challenging sentences. Varied punctuation and simple contractions may be included. Level E books are suitable for early first graders. When Level E is mastered, follow up with Level F.

Download or read book Artificial Intelligence and Security written by Xingming Sun and published by Springer Nature. This book was released on 2020-09-12 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3-volume set CCIS 1252 until CCIS 1254 constitutes the refereed proceedings of the 6th International Conference on Artificial Intelligence and Security, ICAIS 2020, which was held in Hohhot, China, in July 2020. The conference was formerly called “International Conference on Cloud Computing and Security” with the acronym ICCCS. The total of 178 full papers and 8 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1064 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; Internet of things; information security; Part III: information security; big data and cloud computing; information processing.

Download or read book Machine Reading Comprehension with Deep Neural Networks written by Zongheng Wu and published by . This book was released on 2019 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book 2021 6th International Conference on Intelligent Computing and Signal Processing ICSP written by IEEE Staff and published by . This book was released on 2021-04-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP 2021) is the IEEE Consumer Electronics Society s annual conference that will take place in conjunction with CES ICSP 2021 will bring together top professionals from industry, government, and academia from around the world ICSP 2021 includes invited talks, oral presentations and poster presentations of refereed papers We invite submissions of papers and abstracts on all topics related to Intelligent Computing and Signal Processing This conference offers good opportunities for the delegates to exchange new ideas, and to establish research and or business links, as well as to build global partnership for potential collaboration The conference will provide networking opportunities for participants to share ideas, designs, and experiences on the state of the art and future direction of Intelligent Computing and Signal Processing

Download or read book Natural Language Processing and Chinese Computing written by Min Zhang and published by Springer. This book was released on 2018-08-13 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set of LNAI 11108 and LNAI 11109 constitutes the refereed proceedings of the 7th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2018, held in Hohhot, China, in August 2018. The 55 full papers and 31 short papers presented were carefully reviewed and selected from 308 submissions. The papers of the first volume are organized in the following topics: conversational Bot/QA/IR; knowledge graph/IE; machine learning for NLP; machine translation; and NLP applications. The papers of the second volume are organized as follows: NLP for social network; NLP fundamentals; text mining; and short papers.

Download or read book The Psychology of Reading written by Robert G. Crowder and published by Oxford University Press, USA. This book was released on 1992 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive psychologists have discovered that reading represents a natural laboratory for studying almost all cognitive processes: from sensation and perception to comprehension and reasoning. This introductory-level textbook examines the psychology of reading and the important cognitive principles that pertain to it. Though grounded in the latest research, this new edition maintains the objective of its predecessor--to provide a highly accessible introduction for students approaching the subject for the first time. It builds on the useful and well established principles of the first edition while incorporating the substantial growth of knowledge since its publication nearly a decade ago. The text is intended for students from a variety of disciplines, although those in courses on educational psychology and the psychology of reading will find it particularly helpful.

Download or read book Theoretical Issues in Reading Comprehension written by Rand J. Spiro and published by Routledge. This book was released on 2017-11-03 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research in cognitive psychology, linguistics, and artificial intelligence – the three disciplines that have the most direct application to an understanding of the mental processes in reading – is presented in this multilevel work, originally published in 1980, that attempts to provide a systematic and scientific basis for understanding and building a comprehensive theory of reading comprehension. The major focus is on understanding the processes involved in the comprehension of written text. Underlying most of the contributions is the assumption that skilled reading comprehension requires a coordination of text with context in a way that goes far beyond simply chaining together the meanings of a string of decoded words. The topics discussed are divided into five general areas: Global Issues; Text Structure; Language, Knowledge of the World, and Inference; Effects of Prior Language Experience; and Comprehension Strategies and Facilitators, and represent a broad base of methodology and data that should be of interest not only to those concerned with the reading process, but also to basic science researchers in psychology, linguistics, artificial intelligence, and related disciplines.

Download or read book Human Machine Shared Contexts written by William Lawless and published by Academic Press. This book was released on 2020-06-10 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-Machine Shared Contexts considers the foundations, metrics, and applications of human-machine systems. Editors and authors debate whether machines, humans, and systems should speak only to each other, only to humans, or to both and how. The book establishes the meaning and operation of “shared contexts between humans and machines; it also explores how human-machine systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems composed of humans and machines. This book explores how user interventions may improve the context for autonomous machines operating in unfamiliar environments or when experiencing unanticipated events; how autonomous machines can be taught to explain contexts by reasoning, inferences, or causality, and decisions to humans relying on intuition; and for mutual context, how these machines may interdependently affect human awareness, teams and society, and how these "machines" may be affected in turn. In short, can context be mutually constructed and shared between machines and humans? The editors are interested in whether shared context follows when machines begin to think, or, like humans, develop subjective states that allow them to monitor and report on their interpretations of reality, forcing scientists to rethink the general model of human social behavior. If dependence on machine learning continues or grows, the public will also be interested in what happens to context shared by users, teams of humans and machines, or society when these machines malfunction. As scientists and engineers "think through this change in human terms," the ultimate goal is for AI to advance the performance of autonomous machines and teams of humans and machines for the betterment of society wherever these machines interact with humans or other machines. This book will be essential reading for professional, industrial, and military computer scientists and engineers; machine learning (ML) and artificial intelligence (AI) scientists and engineers, especially those engaged in research on autonomy, computational context, and human-machine shared contexts; advanced robotics scientists and engineers; scientists working with or interested in data issues for autonomous systems such as with the use of scarce data for training and operations with and without user interventions; social psychologists, scientists and physical research scientists pursuing models of shared context; modelers of the internet of things (IOT); systems of systems scientists and engineers and economists; scientists and engineers working with agent-based models (ABMs); policy specialists concerned with the impact of AI and ML on society and civilization; network scientists and engineers; applied mathematicians (e.g., holon theory, information theory); computational linguists; and blockchain scientists and engineers. Discusses the foundations, metrics, and applications of human-machine systems Considers advances and challenges in the performance of autonomous machines and teams of humans Debates theoretical human-machine ecosystem models and what happens when machines malfunction