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A Python package to process and represent events from ontologies and semi-structured databases such as Wikidata and Wikipedia.
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Python framework to identify and rank crisis-related tweets based on their informativeness.
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This software enables to damage texts written in any natural language by applying OCR degradation (phantom characters, character degradation, etc.) and by over-segmenting texts (this means splitting regularly the texts in equal parts).
This is useful to reproduce common errors found in historical documents when historical data is missing.
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A SLF data reader from the Galicia project for GALACTIC
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Requests to collect documents relating real-world events (themselves described using wikivents) stored in a global index (provided by database_infrastructure_text_mining).
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