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    Automatic dictionary and rule-based systems for extracting information from text

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    The paper offers a general introduction to the use of meta-information in a text mining perspective. The aim is to build a meta-dictionary as an available linguistic resource useful for different applications. The procedure is based on the use of a hybrid system. The suggested algorithm employs, conjointly and in a recursive way, dictionaries and rules, the latter both lexical and textual. An application on a corpus of diaries from the Time Use Survey (TUS) by Istat is illustrate
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