Byron Georgantopoulos

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The present paper describes a methodology for automatic text summarisation of Greek texts which combines terminology extraction and sentence spotting. Since generating abstracts has proven a hard NLP task of questionable effectiveness, the paper focuses on the production of a special kind of abstracts, called extracts: sets of sentences taken from the(More)
In this paper we present a method aiming at (semi-)automating the process of eliciting domain specific terminological resources, in the framework of information extraction applications. The method aims at linguistically processing machine-readable text corpora and extracting lists of candidate multi-word terms of the domain, that would then be validated by(More)
"Building a large dictionary of abbreviations for named entity recognition in Portuguese historical corpora" 11:00-11:30 Eiríkur Rögnvaldsson and Sigrún Helgadóttir: "Morphological tagging of Old Norse texts and its use in studying syntactic variation and change" 1 Lars Borin and Markus Forsberg: "Something Old, Something New: A Computational Morphological(More)
The present dissertation and project describes a system for automatic summarising of texts. Instead of generating abstracts, a hard NLP task of questionable eeectiveness, the system tries to identify the most important sentences of the original text, thus producing an extract. The proposed, corpus-based and statistical approach exploits several heuristics(More)
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