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Question answering for the curated Web : tasks and methods in QA over knowledge bases and text collections / Rishiraj Saha Roy, Avishek Anand.

Springer Nature Synthesis Collection of Technology Collection 11 Available online

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Format:
Book
Author/Creator:
Roy, Rishiraj Saha, author.
Anand, Avishek, author.
Series:
Synthesis lectures on information concepts, retrieval, and services ; 76.
Synthesis Lectures on Information Concepts, Retrieval, and Services ; 76
Language:
English
Subjects (All):
Question-answering systems.
Natural language processing (Computer science).
Physical Description:
1 online resource (182 pages).
Place of Publication:
Cham, Switzerland : Springer, [2022]
System Details:
Mode of access: World Wide Web.
Summary:
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. QA, posing a multitude of research challenges, has emerged as one of the most actively investigated topics in information retrieval, natural language processing, and the artificial intelligence communities today. The flip side of such diverse and active interest is that publications are highly fragmented across several venues in the above communities, making it very difficult for new entrants to the field to get a good overview of the topic. Through this book, we make an attempt towards mitigating the above problem by providing an overview of the state-of-the-art in question answering. We cover the twin paradigms of curated Web sources used in QA tasks ? trusted text collections like Wikipedia, and objective information distilled into large-scale knowledge bases. We discuss distinct methodologies that have been applied to solve the QA problem in both these paradigms, using instantiations of recent systems for illustration. We begin with an overview of the problem setup and evaluation, cover notable sub-topics like open-domain, multi-hop, and conversational QA in depth, and conclude with key insights and emerging topics. We believe that this resource is a valuable contribution towards a unified view on QA, helping graduate students and researchers planning to work on this topic in the near future.
Contents:
Question answering for the curated Web : tasks and methods in QA over knowledge bases and text collections
Abstract & Keywords
Dedication
Contents
Preface
Acknowledgments
Chapter 1: Introduction
Part I: QA over Knowledge Bases
Chapter 2: Setup
Chapter 3: Getting Started with Simple Questions
Chapter 4: Complex Question Answering
Chapter 5: Answering over Heterogeneous Sources
Chapter 6: Conversational Question Answering
Chapter 7: Part I: Summary and Insights
Part II: QA over Text Collections
Chapter 8: Setup
Chapter 9: Reading Comprehension
Chapter 10: Open-Domain Question Answering
Chapter 11: Multi-Hop Question Answering
Chapter 12: Conversational Question Answering
Chapter 13: Part II: Summary and Insights
Chapter 14: Open Directions
References
Authors' Biographies.
Notes:
Includes bibliographical references and index.
Description based on print version record.
ISBN:
9783031795121
3031795121

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