ROBE: Reversed-Order-Biased-Experts for Extracting Extreme Long-tail Events from Historical Texts
This paper proposes methods to extract over 50 types of events from a Dutch historical corpus spanning the 17th and 18th centuries, and proposes creating expert classifiers for subgroups of the events present in the training data based on similar frequency in the training data or on semantic relatedness.
S. Verkijk, Piek Vossen
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