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CzechTopic: A Benchmark for Zero-Shot Topic Localization in Historical Czech Documents
Topic localization aims to identify spans of text that express a given topic defined by a name and description. To study this task, we introduce a human-annotated benchmark based on Czech historical documents, containing human-defined topics together with manually annotated spans and supporting eval
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