{"id":259980,"date":"2002-08-24T20:56:16","date_gmt":"2002-08-25T03:56:16","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=259980"},"modified":"2018-10-16T20:36:27","modified_gmt":"2018-10-17T03:36:27","slug":"using-knowledge-facilitate-pinpointing-factoid-answers","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/using-knowledge-facilitate-pinpointing-factoid-answers\/","title":{"rendered":"Using Knowledge to Facilitate Pinpointing of Factoid Answers"},"content":{"rendered":"
In order to answer factoid questions, the
\nWebclopedia QA system employs a
\nrange of knowledge resources. These
\ninclude a QA Typology with answer
\npatterns, WordNet, information about
\ntypical numerical answer ranges, and
\nsemantic relations identified by a robust
\nparser, to filter out likely-looking but
\nwrong candidate answers. This paper
\ndescribes the knowledge resources and
\ntheir impact on system performance.<\/p>\n","protected":false},"excerpt":{"rendered":"
In order to answer factoid questions, the Webclopedia QA system employs a range of knowledge resources. These include a QA Typology with answer patterns, WordNet, information about typical numerical answer ranges, and semantic relations identified by a robust parser, to filter out likely-looking but wrong candidate answers. This paper describes the knowledge resources and their […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-259980","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2002-08-24","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"259983","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"Using Knowledge to Facilitate Pinpointing of Factoid Answers","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/07\/coling2002-webclopedia.pdf","id":259983,"label_id":0}],"msr_related_uploader":"","msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"E.H. Hovy","user_id":0,"rest_url":false},{"type":"text","value":"U. 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