A Concise Relation Extraction Method Based on the Fusion of Sequential and Structural Features Using ERNIE

A Concise Relation Extraction Method Based on the Fusion of Sequential and Structural Features Using ERNIE

Relation extraction, a fundamental task in natural language processing, aims to extract entity triples from unstructured data. These triples can then be used to build a knowledge graph. Recently, pre-training models that have learned prior semantic and syntactic knowledge, such as BERT and ERNIE, ha...

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Bibliographic Details
Main Authors: Yu Wang, Yuan Wang, Zhenwan Peng, Feifan Zhang, Fei Yang
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Mathematics
Subjects:
relation extraction
pre-training models
BERT
ERNIE
shortest dependency path
fusion methods
Online Access:https://www.mdpi.com/2227-7390/11/6/1439

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https://www.mdpi.com/2227-7390/11/6/1439

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