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      Reasoning Web. Reasoning on the Web in the Big Data Era 

      An Introduction to Question Answering over Linked Data

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          Building Watson: An Overview of the DeepQA Project

          IBM Research undertook a challenge to build a computer system that could compete at the human champion level in real time on the American TV Quiz show, Jeopardy! The extent of the challenge includes fielding a real-time automatic contestant on the show, not merely a laboratory exercise. The Jeopardy! Challenge helped us address requirements that led to the design of the DeepQA architecture and the implementation of Watson. After 3 years of intense research and development by a core team of about 20 researches, Watson is performing at human expert-levels in terms of precision, confidence and speed at the Jeopardy! Quiz show. Our results strongly suggest that DeepQA is an effective and extensible architecture that may be used as a foundation for combining, deploying, evaluating and advancing a wide range of algorithmic techniques to rapidly advance the field of QA.
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            Learning question classifiers

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              Template-based question answering over RDF data

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                Author and book information

                Book Chapter
                2014
                : 100-140
                10.1007/978-3-319-10587-1_2
                288ca738-6458-472d-aa53-23a312601dbb
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