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Large amounts of ancient documents have become available in the last years, regarding Argentinian history. This fact turns possible to find interesting and useful aggregated information. This work proposes the application of Natural Language Processing, Text Mining and ...
This paper presents a series of semi-supervised learning algorithms which were designed to classify words or expressions with temporal meanings. The algorithms use a set of pre-tagged temporal expressions and a set of semantic classes which were defined within a researc...