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|Title:||Event extraction for Balkan languages|
|Authors:||ZAVARELLA Vanni; KUCUK DILEK; TANEV Hristo; HÜRRIYETOĞLU Ali|
|Citation:||EACL 2014 14th Conference of the European Chapter of the Association for Computational Linguistics. Proceedgins of the conference p. 65-68|
|Publisher:||The Association for Computational Linguistics|
|Type:||Articles in periodicals and books|
|Abstract:||We describe a system for real-time detection of security and crisis events from on-line news in three Balkan languages: Turkish, Romanian and Bulgarian. The system classifies the events according to a fine-grained 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.|
|JRC Directorate:||Space, Security and Migration|
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