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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.
The Prague Dependency Treebank-Consolidated doubles the size and genre diversity of its predecessor, revealing critical differences in dependency structures that challenge the notion of universality in linguistic annotations.
MorfFlex reduces the size of morphological dictionaries by encoding complex patterns, making it a game-changer for NLP in morphologically rich languages.
