2007/07/24 by Wilson Wong, Wong, Wilson
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #H.3.3 #H.3.4 #H.5.2 #Human-Computer Interaction (cs.HC) #I.2.7 #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling #cs.AI #cs.CL #cs.HC #cs.IR
paper · pdf · doi:10.48550/arxiv.0707.3559
Master of Science thesis, National Technical University College of Malaysia, 2005
arxiv created 2007/07/24 · openalex publication_date 2007/07/24 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This 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.