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Question Answering over Text and Knowledge Base, Momtazi


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Автор: Momtazi
Название:  Question Answering over Text and Knowledge Base
ISBN: 9783031165542
Издательство: Springer
Классификация:




ISBN-10: 3031165543
Обложка/Формат: Soft cover
Страницы: 202
Вес: 0.00 кг.
Дата издания: 19.11.2023
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 1 illustrations, black and white; xiii, 202 p. 1 illus.
Размер: 235 x 155
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides a coherent and complete overview of various Question Answering (QA) systems. It covers three main categories based on the source of the data that can be unstructured text (TextQA), structured knowledge graphs (KBQA), and the combination of both. Developing a QA system usually requires using a combination of various important techniques, including natural language processing, information retrieval and extraction, knowledge graph processing, and machine learning. After a general introduction and an overview of the book in Chapter 1, the history of QA systems and the architecture of different QA approaches are explained in Chapter 2. It starts with early close domain QA systems and reviews different generations of QA up to state-of-the-art hybrid models. Next, Chapter 3 is devoted to explaining the datasets and the metrics used for evaluating TextQA and KBQA. Chapter 4 introduces the neural and deep learning models used in QA systems. This chapter includes the required knowledge of deep learning and neural text representation models for comprehending the QA models over text and QA models over knowledge base explained in Chapters 5 and 6, respectively. In some of the KBQA models the textual data is also used as another source besides the knowledge base; these hybrid models are studied in Chapter 7. In Chapter 8, a detailed explanation of some well-known real applications of the QA systems is provided. Eventually, open issues and future work on QA are discussed in Chapter 9. This book delivers a comprehensive overview on QA over text, QA over knowledge base, and hybrid QA systems which can be used by researchers starting in this field. It will help its readers to follow the state-of-the-art research in the area by providing essential and basic knowledge.
Дополнительное описание: - 1. Introduction. - 2. History and Architecture. - 3. Question Answering Evaluation. - 4. Introduction to Neural Networks. - 5. Question Answering over Text. - 6. Question Answering over Knowledge Base. - 7. KBQA Enhanced with Textual Data. - 8. Question



Visual Question Answering

Автор: Qi Wu
Название: Visual Question Answering
ISBN: 9811909636 ISBN-13(EAN): 9789811909634
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Visual Question Answering (VQA) usually combines visual inputs like image and video with a natural language question concerning the input and generates a natural language answer as the output.

Question Answering over Text and Knowledge Base

Автор: Momtazi
Название: Question Answering over Text and Knowledge Base
ISBN: 3031165519 ISBN-13(EAN): 9783031165511
Издательство: Springer
Рейтинг:
Цена: 22359.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a coherent and complete overview of various Question Answering (QA) systems. It covers three main categories based on the source of the data that can be unstructured text (TextQA), structured knowledge graphs (KBQA), and the combination of both. Developing a QA system usually requires using a combination of various important techniques, including natural language processing, information retrieval and extraction, knowledge graph processing, and machine learning. After a general introduction and an overview of the book in Chapter 1, the history of QA systems and the architecture of different QA approaches are explained in Chapter 2. It starts with early close domain QA systems and reviews different generations of QA up to state-of-the-art hybrid models. Next, Chapter 3 is devoted to explaining the datasets and the metrics used for evaluating TextQA and KBQA. Chapter 4 introduces the neural and deep learning models used in QA systems. This chapter includes the required knowledge of deep learning and neural text representation models for comprehending the QA models over text and QA models over knowledge base explained in Chapters 5 and 6, respectively. In some of the KBQA models the textual data is also used as another source besides the knowledge base; these hybrid models are studied in Chapter 7. In Chapter 8, a detailed explanation of some well-known real applications of the QA systems is provided. Eventually, open issues and future work on QA are discussed in Chapter 9. This book delivers a comprehensive overview on QA over text, QA over knowledge base, and hybrid QA systems which can be used by researchers starting in this field. It will help its readers to follow the state-of-the-art research in the area by providing essential and basic knowledge.

Question Answering for the Curated Web

Автор: Saha Roy
Название: Question Answering for the Curated Web
ISBN: 3031795113 ISBN-13(EAN): 9783031795114
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Question answering (QA) systems on the Web try to provide crisp answers to information needs posed in natural language, replacing the traditional ranked list of documents.

Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering

Автор: Jeff Z. Pan; Diego Calvanese; Thomas Eiter; Ian Ho
Название: Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering
ISBN: 3319494929 ISBN-13(EAN): 9783319494920
Издательство: Springer
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Цена: 7685.00 р.
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Описание:

This volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016.

In 2016, the theme of the school was "Logical Foundation of Knowledge Graph Construction and Query Answering". The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori.

The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.

Interactive Multi-modal Question-Answering

Автор: Antal van den Bosch; Gosse Bouma
Название: Interactive Multi-modal Question-Answering
ISBN: 3642268226 ISBN-13(EAN): 9783642268229
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book, which grew out of the IMIX project funded by the Netherlands Organisation for Scientific Research, explores the development of a computer interface that listens, talks, and can answer medical questions.

Flexible Query Answering Systems

Автор: Henning Christiansen; Mohand-Said Hacid; Troels An
Название: Flexible Query Answering Systems
ISBN: 3540221603 ISBN-13(EAN): 9783540221609
Издательство: Springer
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Цена: 13974.00 р.
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Описание: ThisvolumeconstitutestheproceedingsoftheSixthInternationalConferenceon Flexible Query Answering Systems, FQAS 2004, held in Lyon, France, on June 24-26, 2004. The overall theme of the FQAS conferences is innovative query systems aimed at providing easy, ?exible, and intuitive access to information.

Flexible Query Answering Systems 2015

Автор: Troels Andreasen; Henning Christiansen; Janusz Kac
Название: Flexible Query Answering Systems 2015
ISBN: 3319261533 ISBN-13(EAN): 9783319261539
Издательство: Springer
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Цена: 26552.00 р.
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Описание: In targeting this issue, the Conference draws on several research areas, such as information retrieval, database management, information filtering, knowledge representation, soft computing, management of multimedia information, and human-computer interaction.

Flexible Query Answering Systems

Автор: Troels Andreasen; Ronald R. Yager; Henrik Bulskov;
Название: Flexible Query Answering Systems
ISBN: 3642049567 ISBN-13(EAN): 9783642049569
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This book constitutes the refereed proceedings of the 8th International Conference on Flexible Query Answering Systems, FQAS 2009, held in Roskilde, Denmark, in October 2009.

Foundations of Knowledge Base Management

Автор: Joachim W. Schmidt; Costantino Thanos
Название: Foundations of Knowledge Base Management
ISBN: 3642833993 ISBN-13(EAN): 9783642833991
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Knowledge Base Management Systems (KBMSs) are being proposed that provide user-friendly environments for the construction, retrieval, and manipUlation of large shared knowledge bases.

On Knowledge Base Management Systems

Автор: Michael L. Brodie; John Mylopoulos
Название: On Knowledge Base Management Systems
ISBN: 1461293839 ISBN-13(EAN): 9781461293835
Издательство: Springer
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Цена: 12157.00 р.
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Описание: Current experimental systems in industry, government, and the military take advantage of knowledge-based processing. Currently, knowledge-based system technology lacks the means to provide efficient and robust knowledge bases, while database system technology lacks knowledge representation and reasoning capabilities.

Flexible Query Answering Systems

Автор: Henning Christiansen; H?l?ne Jaudoin; Panagiotis C
Название: Flexible Query Answering Systems
ISBN: 3319596918 ISBN-13(EAN): 9783319596914
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book constitutes the refereed proceedings of the 12th International Conference on Flexible Query Answering Systems, FQAS 2017, held in London, UK, in June 2017. The 21 full papers presented in this book together with 4 short papers were carefully reviewed and selected from 43 submissions.

Multidimensional Mining of Massive Text Data

Автор: Zhang, Chao Han, Jiawei
Название: Multidimensional Mining of Massive Text Data
ISBN: 3031007867 ISBN-13(EAN): 9783031007866
Издательство: Springer
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Цена: 7685.00 р.
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