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Machine Reading Comprehension
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Book Synopsis Machine Reading Comprehension by : Chenguang Zhu
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
Book Synopsis The Homework Machine by : Dan Gutman
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!
Book Synopsis Metaheuristics in Machine Learning: Theory and Applications by : Diego Oliva
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.
Book Synopsis Advances in Computational Collective Intelligence by : Krystian Wojtkiewicz
Download or read book Advances in Computational Collective Intelligence written by Krystian Wojtkiewicz and published by Springer. This book was released on 2021-10-31 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Natural Language Processing and Chinese Computing by : Lu Wang
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.
Book Synopsis Chinese Computational Linguistics by : Sheng Li
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.
Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series by : Igor V. Tetko
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.
Book Synopsis Data Intelligence and Cognitive Informatics by : I. Jeena Jacob
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.
Book Synopsis Bilingual Reading Comprehension, Grade 2 by :
Download or read book Bilingual Reading Comprehension, Grade 2 written by and published by Carson-Dellosa Publishing. This book was released on 2009-01-04 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Knowledge-enhanced Neural Networks for Machine Reading Comprehension by : Todor Mihaylov
Download or read book Knowledge-enhanced Neural Networks for Machine Reading Comprehension written by Todor Mihaylov and published by . This book was released on 2022* with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Machine Learning by : Stephen Marsland
Download or read book Machine Learning written by Stephen Marsland and published by CRC Press. This book was released on 2011-03-23 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional books on machine learning can be divided into two groups- those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but
Book Synopsis Natural Language Processing and Chinese Computing by : Min Zhang
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.
Book Synopsis Artificial Intelligence and Security by : Xingming Sun
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 Web and Big Data written by Xin Wang and published by Springer Nature. This book was released on 2020-10-15 with total page 829 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and Multimedia Databases; Database Systems; and Demo.
Book Synopsis English Machine Reading Comprehension: New Approaches to Answering Multiple-choice Questions by : Daria Dzendzik
Download or read book English Machine Reading Comprehension: New Approaches to Answering Multiple-choice Questions written by Daria Dzendzik and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reading comprehension is often tested by measuring a person or system's ability to answer questions about a given text. Machine reading comprehension datasets have proliferated in recent years, particularly for the English language. The aim of this thesis is to investigate and improve data-driven approaches to automatic reading comprehension. Firstly, I provide a full classification of question and answer types for the reading comprehension task. I also present a systematic overview of English reading comprehension datasets (over 50 datasets). I observe that the majority of questions were created using crowdsourcing and the most popular data source is Wikipedia. There is also a lack of why, when, and where questions. Additionally, I address the question "What makes a dataset difficult?" and highlight the difference between datasets created for people and datasets created for machine reading comprehension. Secondly, focusing on multiple-choice question answering, I propose a computationally light method for answer selection based on string similarities and logistic regression. At the time (December 2017), the proposed approach showed the best performance on two datasets (MovieQA and MCQA: IJCNLP 2017 Shared Task 5 Multi-choice Question Answering in Examinations) outperforming some CNN-based methods. Thirdly, I investigate methods for Boolean Reading Comprehension tasks including the use of Knowledge Graph (KG) information for answering questions. I provide an error analysis of a transformer model's performance on the BoolQ dataset. This reveals several important issues such as unstable model behaviour and some issues with the dataset itself. Experiments with incorporating knowledge graph information into a baseline transformer model do not show a clear improvement due to a combination of the model's ability to capture new information, inaccuracies in the knowledge graph, and imprecision in entity linking. Finally, I develop a Boolean Reading Comprehension dataset based on spontaneously user-generated questions and reviews which is extremely close to a real-life question-answering scenario. I provide a classification of question difficulty and establish a transformer-based baseline for the new proposed dataset.
Book Synopsis Building Understanding by : Joan Baker-González
Download or read book Building Understanding written by Joan Baker-González and published by LONGMAN. This book was released on 1995 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Especially written for intermediate to high-intermediate students, Building on Basics and Building Understanding feature authentic, thematically organized readings from nonfiction, academic, and literary sources. The high-interest topics and thematically linked readings effectively build students' background knowledge and vocabulary for later readings. With their increased knowledge of a topic, students will have more to talk, think, and write about as they acquire English.Pre-reading activities, varied comprehension exercises, and text analyses develop students' academic skills and encourage oral and written skills.Building Understanding features: -- A wide variety of reading genres including nonfiction, personal essay, literature, and poetry to broaden students' reading experiences-- Interactive pre-reading and post-reading activities to utilize students' background knowledge and develop critical thinking skills-- Writing and discussion activities that move students from the text to broader, related issues
Book Synopsis Text, Speech, and Dialogue by : Kamil Ekštein
Download or read book Text, Speech, and Dialogue written by Kamil Ekštein and published by Springer Nature. This book was released on 2023-08-22 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 26th International Conference on Text, Speech, and Dialogue, TSD 2023, held in Pilsen, Czech Republic, during September 4–6, 2023. The 31 full papers presented together with the abstracts of 3 keynote talks were carefully reviewed and selected from 64 submissions. The conference attracts researchers not only from Central and Eastern Europe but also from other parts of the world. One of its goals has always been bringing together NLP researchers with various interests from different parts of the world and promoting their cooperation. One of the ambitions of the conference is, not only to deal with dialogue systems but also to improve dialogue among researchers in areas of NLP, i.e., among the “text” and the “speech” and the “dialogue” people.
