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dc.contributor.advisorWebster, Barry
dc.contributor.authorAcharya, Lok Prasad
dc.date.accessioned2019-09-23T13:43:51Z
dc.date.available2019-09-23T13:43:51Z
dc.date.created2019-12
dc.date.issued2019-12
dc.date.submittedDecember 2019
dc.identifier.urihttp://hdl.handle.net/11141/2910
dc.descriptionThesis (Ph.D.) - Florida Institute of Technology, 2019.en_US
dc.description.abstractIn this era of information explosion, people generally rely on the Internet, and more precisely, the search engines to get answers to their questions. However, what a search engine can do is just retrieve documents. Given some keywords, it only returns the relevant ranked documents that contain the keywords. Although users often want a precise answer to a question, they are left to extract answers from the documents themselves. This is where Automatic Question Answering (AQA) systems come into play. An AQA system takes questions in natural language as input and searches related answers in the set of documents and extracts the precise answer to natural language questions rather than retrieving full documents or best matching passages, as most information retrieval systems currently do. In this work, an AQA system has been developed that can provide precise answers to any general-purpose questions. This paper provides a novel and efficient framework to find proper results for the user based on the question.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.rightsCC BY 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcodeen_US
dc.titleA Systematic Approach for Automatically Answering General-Purpose Objective and Subjective Questionsen_US
dc.typeDissertationen_US
dc.date.updated2019-09-16T19:09:01Z
thesis.degree.nameDoctorate of Philosophy in Systems Engineeringen_US
thesis.degree.levelDoctoralen_US
thesis.degree.disciplineSystems Engineeringen_US
thesis.degree.departmentComputer Engineering and Sciencesen_US
thesis.degree.grantorFlorida Institute of Technologyen_US
dc.type.materialtext


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