Title: Event extraction for Balkan languages
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
Publication Year: 2014
JRC N°: JRC88244
ISBN: 978-1-937284-78-7
URI: http://www.aclweb.org/anthology/E/E14/E14-1.pdf (proceedings)
http://www.aclweb.org/anthology/E/E14/E14-2017.pdf (paper)
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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