{"id":715570,"date":"2021-01-05T22:10:08","date_gmt":"2021-01-06T06:10:08","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=715570"},"modified":"2021-01-05T22:10:08","modified_gmt":"2021-01-06T06:10:08","slug":"question-answering-in-webclopedia","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/question-answering-in-webclopedia\/","title":{"rendered":"Question Answering in Webclopedia"},"content":{"rendered":"
In this paper we describe the Webclopedia, a system that uses a classification of QA types to facilitate coverage, uses a robust syntactic-semantic parser to perform the analysis, and contains a matcher that combines word- and parse-tree-level information to identify answer passages. Section 2 outlines the Webclopedia approach and architecture; Section 3 describes document retrieval and processing, Section 4 describes the QA Typology, Section 5 the parsing, and Section 6 the matching.<\/p>\n","protected":false},"excerpt":{"rendered":"
In this paper we describe the Webclopedia, a system that uses a classification of QA types to facilitate coverage, uses a robust syntactic-semantic parser to perform the analysis, and contains a matcher that combines word- and parse-tree-level information to identify answer passages. Section 2 outlines the Webclopedia approach and architecture; Section 3 describes document retrieval 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