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