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Faculty of Mathematics and Physics, Charles University, Institute of Formal and Applied Linguistics Prague
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Human annotators exhibit significant variability in coreference and discourse relation judgments, revealing insights into the subjective nature of text coherence that automatic models often miss.
A nearly 30-year effort culminates in a richly annotated Czech language resource that revolutionizes how we analyze and compare NLP tools.
