Some Principles of Automated Natural Language Information Extraction
نویسنده
چکیده
Here is presented and discussed some principles for extracting the semantic or informational content of texts formulated in natural language. More precisely, as a study of computational semantics and information science we describe a method of logical translation that seems to constitute a kind of semantic analysis, but it may also be considered a kind of information extraction. We discuss the translation from Dataflow Structures partly to parser programs and partly to informational content. The methods are independent of any particular semantic theory and seem to fit nicely with a variety of available semantic theories.
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