Practical Approach to Knowledge-based Question Answering with Natural Language Understanding and Advanced Reasoning

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dc.creatorWong, Wilson
dc.date2007-07-24
dc.date.accessioned2026-07-07T08:19:55Z
dc.date.available2026-07-07T08:19:55Z
dc.descriptionThis research hypothesized that a practical approach in the form of a solution framework known as Natural Language Understanding and Reasoning for Intelligence (NaLURI), which combines full-discourse natural language understanding, powerful representation formalism capable of exploiting ontological information and reasoning approach with advanced features, will solve the following problems without compromising practicality factors: 1) restriction on the nature of question and response, and 2) limitation to scale across domains and to real-life natural language text.
dc.descriptionMaster of Science thesis, National Technical University College of Malaysia, 2005
dc.identifierhttps://arxiv.org/abs/0707.3559
dc.identifierhttp://arxiv.org/abs/0707.3559
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/134931
dc.subjectComputation and Language
dc.subjectArtificial Intelligence
dc.subjectHuman-Computer Interaction
dc.subjectInformation Retrieval
dc.subjectI.2.7; H.5.2; H.3.4; H.3.3
dc.titlePractical Approach to Knowledge-based Question Answering with Natural Language Understanding and Advanced Reasoning
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