Machine Reading Comprehension

Machine Reading Comprehension
Author: Chenguang Zhu
Publsiher: Elsevier
Total Pages: 272
Release: 2021-03-20
Genre: Computers
ISBN: 9780323901192

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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

Knowledge enhanced Neural Networks for Machine Reading Comprehension

Knowledge enhanced Neural Networks for Machine Reading Comprehension
Author: Todor Mihaylov
Publsiher: Unknown
Total Pages: 0
Release: 2022*
Genre: Electronic Book
ISBN: OCLC:1427566952

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Metaheuristics in Machine Learning Theory and Applications

Metaheuristics in Machine Learning  Theory and Applications
Author: Diego Oliva
Publsiher: Springer Nature
Total Pages: 765
Release: 2024
Genre: Computational intelligence
ISBN: 9783030705428

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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.

Text Speech and Dialogue

Text  Speech  and Dialogue
Author: Kamil Ekštein,František Pártl,Miloslav Konopík
Publsiher: Springer Nature
Total Pages: 383
Release: 2023-08-22
Genre: Computers
ISBN: 9783031404986

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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.

The Homework Machine

The Homework Machine
Author: Dan Gutman
Publsiher: Simon and Schuster
Total Pages: 168
Release: 2009-10-27
Genre: Juvenile Fiction
ISBN: 9781442407091

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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!

Advanced Intelligent Technologies for Industry

Advanced Intelligent Technologies for Industry
Author: Kazumi Nakamatsu,Roumen Kountchev,Srikanta Patnaik,Jair M. Abe,Andrey Tyugashev
Publsiher: Springer Nature
Total Pages: 585
Release: 2022-05-18
Genre: Technology & Engineering
ISBN: 9789811697357

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The book includes new research results of scholars from the Second International Conference on Advanced Intelligent Technologies (ICAIT 2021) subtitled Intelligent Technology and Industry organized by IRNet International Academic Communication Center, held during October 15–17, 2021. The book covers research work from active researchers who are working on collaboration of industry and various intelligent technologies such as intelligent technologies applicable/applied to manufacturing and distribution of industrial products, factory automation, business, etc. The book focuses on theory, design, development, testing, and evaluation of all intelligent technologies applicable/applied to various parts of industry and its infrastructure. The topics included are all computational intelligence techniques applicable/applied to industry, intelligent techniques in data science applicable/applied to business and management, intelligent network systems applicable/applied to industrial production, intelligent technologies applicable to smart agriculture, and intelligent information systems for agriculture.

Chinese Computational Linguistics

Chinese Computational Linguistics
Author: Sheng Li,Maosong Sun,Yang Liu,Hua Wu,Liu Kang,Wanxiang Che,Shizhu He,Gaoqi Rao
Publsiher: Springer Nature
Total Pages: 488
Release: 2021-08-07
Genre: Computers
ISBN: 9783030841867

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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.

Advances in Artificial Intelligence

Advances in Artificial Intelligence
Author: Yasufumi Takama,Naohiro Matsumura,Katsutoshi Yada,Mitsunori Matsushita,Daisuke Katagami,Akinori Abe,Hisashi Kashima,Toshihiro Hiraoka,Takahiro Uchiya,Rafal Rzepka
Publsiher: Springer Nature
Total Pages: 236
Release: 2022-02-25
Genre: Technology & Engineering
ISBN: 9783030964511

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This book contains extended versions of research papers presented at the international sessions at the 35th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI2021), which was held online from June 8–11, 2021. The JSAI annual conferences are considered key events for our organization, and the international sessions held at these conferences play a key role for the society in its efforts to share Japan’s research on artificial intelligence with other countries. The topics of the international sessions in JSAI2021 cover five categories: knowledge engineering, machine learning, agents, robots and real worlds, and human interface and education aid. From the papers submitted to those categories, papers of high quality were selected through the strict reviewing procedure. As a result, 19 papers are included in this book. From this book, readers can get an overview of recent Japan’s research on artificial intelligence.