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100 1 _aSaha Roy, Rishiraj.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980562
245 1 0 _aQuestion Answering for the Curated Web
_h[electronic resource] :
_bTasks and Methods in QA over Knowledge Bases and Text Collections /
_cby Rishiraj Saha Roy, Avishek Anand.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXXI, 172 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aSynthesis Lectures on Information Concepts, Retrieval, and Services,
_x1947-9468
505 0 _aPreface -- Acknowledgments -- Introduction -- Setup -- Getting Started with Simple Questions -- Complex Question Answering -- Conversational Question Answering -- Part I: Summary and Insights -- Setup -- Reading Comprehension -- Open-Domain Question Answering -- Multi-Hop Question Answering -- Conversational Question Answering -- Part II: Summary and Insights -- Open Directions -- References -- Authors' Biographies.
520 _aQuestion 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.
650 0 _aMathematics.
_911584
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aComputer networks .
_931572
650 1 4 _aMathematics.
_911584
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aComputer Communication Networks.
_980563
700 1 _aAnand, Avishek.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980564
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783031795145
830 0 _aSynthesis Lectures on Information Concepts, Retrieval, and Services,
_x1947-9468
_980566
856 4 0 _uhttps://doi.org/10.1007/978-3-031-79512-1
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