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Enhancing Historical Event Extraction from Text: A Case Study on the Bosnian War

This paper presents the development of a Historical Event Extraction Module designed to analyze texts for historical event identification, with a focus on exhibits at the Rijksmuseum related to the Bosnian War. By utilizing a limited set of manually annotated texts, we achieved impressive recall (67.94%) and precision (51.96%) rates in extracting historical actions. The findings reveal how structural and semantic patterns can significantly enhance event extraction, even with scarce annotated data. Join us to explore these innovative methodologies and their implications for historical analysis.

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Enhancing Historical Event Extraction from Text: A Case Study on the Bosnian War

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  1. Historical Event Extraction from Text Agata Cybulska, Piek Vossen Computational Lexicology and Terminology Lab, Faculty of Arts, Free University Amsterdam ACL LaTeCH 2011

  2. Museum Application of the Historical Event Extraction Module • Browsing exhibits of the Rijksmuseum through historical events eg. photo’s related to the Bosnian War and more… ACL LaTeCH 2011

  3. Modeling Historical Events in Text Location Srebrenica Participants HISTORICAL EVENT Bosnian soldiers Moslim man and boys Time On 11 July 1995 Actions murder

  4. Museum Application of the Historical Event Extraction Module Browsing exhibits of the Rijksmuseum through historical events eg. - photo’s related to the Bosnian War - art pieces referring to a president, general etc. - within a time periode - geographic area -> inferences about event parts -> relations between events ACL LaTeCH 2011

  5. Development of the Historical Event Extraction Module • No annotated data available • Our approach - development set of (only!) 5 texts manually annotated with Historical Events • Event extraction based on patterns of structural and semantic properties ACL LaTeCH 2011

  6. Comparison with an evaluation set tagged by two Independent annotators Evaluation Results • Actions extracted with 67.94% recall and 51.96% precision 6 ACL LaTeCH 2011

  7. How did we manage to achieve such good resultsusing only a very limited set of annotated data? How did we do it ?? ACL LaTeCH 2011

  8. Thank you Come to our poster to find out more! ak.cybulska@let.vu.nl ACL LaTeCH 2011

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