A Question Of Knowledge
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A Question of Knowledge
This book uniquely illustrates the key concepts and issues involved with recent examples drawn from empirical research, highlighting the practical relevance of difficult theoretical and philosophical concepts to the way in which we think and talk about knowledge both in an everyday and in an academic/ sociological context.
Question Answering over Text and Knowledge Base
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.
Theory of Knowledge for the IB Diploma
Author: Richard van de Lagemaat
language: en
Publisher: Cambridge University Press
Release Date: 2014-11-20
Written by experienced practitioners this resource for Theory of Knowledge for the IB Diploma offers comprehensive coverage of and support for the new subject guide. This edition of Theory of Knowledge for the IB Diploma is fully revised for first examination in September 2015. The coursebook is a comprehensive, original and accessible approach to Theory of Knowledge, which covers all aspects of the revised subject guide. A fresh design ensures the content is accessible and user friendly and there is detailed guidance on how to approach the TOK essay and presentation. This edition supports the stronger emphasis on the distinction between personal and shared knowledge and the new areas of knowledge: religion and indigenous knowledge.