Papers by Luye Zheng

1 papers
KCAT: A Knowledge-Constraint Typing Annotation Tool (P19-3)

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Challenge: Recent years Natural Language Processing community has seen a surge of interest in fine-grained entity typing (FET) given an entity mention (i.e. a sequence of token spans representing an entity), FET aims at uncovering its contextdependent type.
Approach: They propose an efficient Knowledge Constraint Fine-grained Entity Typing Annotation Tool which further improves the entity typing process through entity linking together with some practical functions.
Outcome: The proposed tool improves the entity typing process by linking the candidate types with some practical functions.

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