Abstract
The chapter describes the topic of using news content to automatically detect world events mentioned in the news. Various tasks required for identifying events are presented, such as semantic annotation, article clustering and cross-lingual cluster matching. Given the identified events we also describe how date, location, relevant entities and other core event details can be determined automatically.
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Leban, G., Fortuna, B., Grobelnik, M. (2017). Event Extraction from Media Texts. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_901
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_901
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Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4899-7687-1
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