Automatic Detection of Temporal Information in Ukrainian General-language Texts
Résumé
Temporal information provides important and precise indications on facts and events. Yet, when automatically processing unstructured documents, it may be complicated to extract temporality-related information. Besides, such tools are not available for many languages. We propose to adapt an existing tool for the automatic detection and annotation of temporal information in Ukrainian. The tool is rule-based. It permits to detects temporal expressions, be they absolute or relative, and to normalize them. We test the adapted tool on two corpora from different genres and evaluate the results.
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