A linguistically sound approach to content analysis of natural language text
作者： C.D. Hafner
关键词: Natural language 、 Chart parser 、 Content analysis 、 Natural language processing 、 Chart 、 Word processing 、 Pattern matching 、 Interpreter 、 Structure (mathematical logic) 、 Computer science 、 Artificial intelligence
摘要: An approach to text content analysis aimed at utilizing linguistic structure effectively within a robust, pattern-directed framework is described. The method, which under development as part of the ROBIN (robust interpreter) system, uses bottom-up chart parser collect information about input. then subjected rule-based pattern matching recognize concepts interest. It shown how structure-matching able use syntactic distinguish correct from incorrect examples concept, even when provides only partial >
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