Event Extraction for Balkan Languages
Vanni Zavarella, Dilek Küçük, Hristo Tanev, Ali Hürriyetoğlu · 2014
We describe a system for real-time detection of security and crisis events from online news in three Balkan languages: Turkish, Romanian and Bulgarian.The system classifies the events according to a finegrained event type set.It extracts structured information from news reports, by using a blend of keyword matching and finite-state grammars for entity recognition.We apply a multilingual methodology for the development of the system's language resources, based on adaptation of language-independent grammars and on weakly-supervised learning of lexical resources.Detailed performance evaluation proves that the approach is effective in developing real-world semantic processing applications for relatively less-resourced languages.