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- W2510794861 abstract "This dissertation describes and illustrates the techniques used to improve and combine the four methodologies of Conceptual Graphs [27], Associative Database [14, 17], Link Grammar [24, 25, 26], and Word Net Ontology to create a question-answering system that utilizes English text as input. This system performs (possibly adaptive) parsing which uses Link Grammar and Phrase Structure grammars of varying degrees of robustness in order to capture a handful of semantic relations that form the basis of a tuple-based Conceptual Graph rendition of the English input. These CGs are rendered as a Levinson Associative Database, enhanced by a rich English Type Hierarchy and Ontology. The system was tested extensively by letting it parse hundreds of sentences as well as providing it with queries on the processed input. We found an actual coverage of 66 percent. A road map is described which should lead to 97 percent coverage. This performance, plus the linguistic tunability of the system on multiple levels, are encouraging signs for future development." @default.
- W2510794861 created "2016-09-16" @default.
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- W2510794861 date "2004-01-01" @default.
- W2510794861 modified "2023-09-27" @default.
- W2510794861 title "Practical natural language processing question answering using graphs" @default.
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