Argyrios Vasilakopoulos

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Text Mining is a relatively new area of research, very interesting for both computational linguists and data miners. It involves collecting and analyzing quantities of textual data by domain experts, whose main task is the manual revision of markup. We describe a suite of tools used to simplify the process: the Parmenides System that consists of data(More)
We describe our last results at the CoNLL2002 shared task of Named Entity Recognition and Classiication using two approaches that we rst applied to other NLL problems. We have been developing our own modiied TBL learner initially to tackle the Part-of-Speech tagging problem, for integration in a hybrid NLL and rule-based system for information extraction(More)
We describe the recent enhancement of the CAFETIERE formalism (Conceptual Annotation of Facts, Events, Terms, Individual Entities and RElations) with the ability to link natural language words and phrases in textual documents with instances and classes from a language-enabled ontology. The language-enabled ontology is one with an index from one or more(More)
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