Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds

SEMEVAL 2018 Sheng ZhangKevin DuhBenjamin Van Durme

Fine-grained entity typing is the task of assigning fine-grained semantic types to entity mentions. We propose a neural architecture which learns a distributional semantic representation that leverages a greater amount of semantic context -- both document and sentence level information -- than prior work... (read more)

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