A Study of Entity Relationship Extraction Algorithms Based on Symmetric Interaction between Data, Models, and Inference Algorithms

A Study of Entity Relationship Extraction Algorithms Based on Symmetric Interaction between Data, Models, and Inference Algorithms

The purpose of this paper is to address the extraction of entities and relationships from unstructured Chinese text, with a particular emphasis on the challenges of Named Entity Recognition (NER) and Relation Extraction (RE). This will be achieved by integrating external lexical information and util...

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Bibliographic Details
Main Authors: Ping Feng, Nannan Su, Jiamian Xing, Jing Bian, Dantong Ouyang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
named entity recognition
relationship extraction
data
model
inference algorithm
Online Access:https://www.mdpi.com/2076-3417/14/3/1058

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