| 書目名稱 | Question Answering for the Curated Web | | 副標(biāo)題 | Tasks and Methods in | | 編輯 | Rishiraj Saha Roy,Avishek Anand | | 視頻video | http://file.papertrans.cn/782/781811/781811.mp4 | | 叢書名稱 | Synthesis Lectures on Information Concepts, Retrieval, and Services | | 圖書封面 |  | | 描述 | 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 lik | | 出版日期 | Book 2022 | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-79512-1 | | isbn_softcover | 978-3-031-79511-4 | | isbn_ebook | 978-3-031-79512-1Series ISSN 1947-945X Series E-ISSN 1947-9468 | | issn_series | 1947-945X | | copyright | Springer Nature Switzerland AG 2022 |
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