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Titlebook: Advances in Open Domain Question Answering; Tomek Strzalkowski,Sanda M. Harabagiu Book 2008 Springer Science+Business Media B.V. 2008 Auto

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Competitive Strategies in Life Sciences We describe the Answer Selection component, which extracts and ranks answer candidates from the passages returned by the search engine based on linguistic as well as statistical features. We present numerous examples as well as quantitative evaluations.
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Value Creation: Dynamic Supply Chain Design,Using this procedure, a collection of questions and answers can be automatically generated from any text corpus. One key benefit of this automatic procedure is that question/answer sets can be easily generated from domain-specific corpora, creating training data which could be used to build a Q/A system tailored for a specific domain.
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Book 2008most exciting technological developments. It has all the markings of a disruptive technology, one that is poised to displace the existing search methods and establish new standards for user-centered access to information. This book gives a comprehensive and detailed look at the current approaches to
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https://doi.org/10.1007/978-3-031-19975-2d collaborative QA, explanation, interactive QA, QA reuse, and novel architectures for QA. The chapter concludes by outlining a roadmap of the future of question answering, articulating necessary resources for, impediments to, and planned or possible future capabilities.
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1386-291X wishing to study in this area.Will provide the readers with .Automated question answering - the ability of a machine to answer questions, simple or complex, posed in ordinary human language - is one of today’s most exciting technological developments. It has all the markings of a disruptive technolo
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https://doi.org/10.1057/9780230234239nd dynamic collections like the Web. This chapter illustrates how advanced features can be added to LCC’s state-of-the-art question answering system to support a wide range of questions along all these dimensions. The impact of each feature is assessed by extracting answers from large text collections and from Web documents.
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