Leveraging Concept-Enhanced Pre-Training Model and Masked-Entity Language Model for Named Entity Disambiguation

Named Entity Disambiguation (NED) refers to the task of resolving multiple named entity mentions in an input-text sequence to their correct references in a knowledge graph. We tackle NED problem by leveraging two novel objectives for pre-training framework, and propose a novel pre-training NED model...

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Bibliographic Details
Main Authors: Zizheng Ji, Lin Dai, Jin Pang, Tingting Shen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9091850/