Interactive Question Answering Using Frame-Based Knowledge Representation

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dc.contributor.advisorAn, Aijun
dc.creatorBoroujerdi, Emad Gohari
dc.date.accessioned2018-11-21T13:45:59Z
dc.date.available2018-11-21T13:45:59Z
dc.date.copyright2018-07-13
dc.date.issued2018-11-21
dc.date.updated2018-11-21T13:45:59Z
dc.degree.disciplineComputer Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractA framework for building interactive question answering (IQA) systems is proposed based on a frame representation in dialogue systems. This method uses semantic role labeling for building a frame-based knowledge base (KB) from a dataset of question-answer pairs. A frame representation of a question contains slot-value pairs presenting the question's semantic. A frame-based representation enables a question answering system to engage in dialogue interactions with a user. The IQA systems goal is capturing the user's intention and finding the best matching answer from the KB. A procedure for extracting slots (attributes) and their values for representing questions in the KB is proposed. Our framework was evaluated on datasets in the domain of car manuals. Our evaluation results show the effectiveness of the proposed framework for KB generation and IQA compared to different baseline methods. Moreover, the deployment of this method effectively reduced the manual effort for KB generation.
dc.identifier.urihttp://hdl.handle.net/10315/35515
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectLinguistics
dc.subject.keywordsNatural Language Processing
dc.subject.keywordsComputational Linguistics
dc.subject.keywordsQuestion Answering System
dc.subject.keywordsInteractive Question Answering System
dc.subject.keywordsKnowledge Base Generation
dc.subject.keywordsDialogue System
dc.titleInteractive Question Answering Using Frame-Based Knowledge Representation
dc.typeElectronic Thesis or Dissertation

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