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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. The methods we propose aim to tackle a very challenging scenario in Machine Learning: extracting the long-tail of the long-tail. Historic data from before the 19th cent
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