Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing

NAACL 2019 Wenhan XiongJiawei WuDeren LeiMo YuShiyu ChangXiaoxiao GuoWilliam Yang Wang

Existing entity typing systems usually exploit the type hierarchy provided by knowledge base (KB) schema to model label correlations and thus improve the overall performance. Such techniques, however, are not directly applicable to more open and practical scenarios where the type set is not restricted by KB schema and includes a vast number of free-form types... (read more)

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