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020			_a9783031795121
024	7		_a10.1007/978-3-031-79512-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9.Q4 _b2022 EB
100	1		_a Roy, Rishiraj Saha _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686740
245	1	0	_aQuestion Answering for the Curated Web : _bTasks and Methods in QA over Knowledge Bases and Text Collections _cby Rishiraj Saha Roy, Avishek Anand
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XXI, 172 páginas)
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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.
988			_aSynthesis Collection of Technology_2022
650		7	_2embne _9158738 _aProceso en lenguaje natural (Informática)
650		7	_2embne _9666075 _aLingüística computacional
700	1		_aAnand, Avishek _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686741
776	0	8	_iPrinted edition: _z9783031795138
776	0	8	_iPrinted edition: _z9783031795114
776	0	8	_iPrinted edition: _z9783031795145
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79512-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eIG _zSI