Semi-Supervised Bidirectional Long Short-Term Memory and Conditional Random Fields Model for Named-Entity Recognition Using Embeddings from Language Models Representations

Semi-Supervised Bidirectional Long Short-Term Memory and Conditional Random Fields Model for Named-Entity Recognition Using Embeddings from Language Models Representations

Increasingly, popular online museums have significantly changed the way people acquire cultural knowledge. These online museums have been generating abundant amounts of cultural relics data. In recent years, researchers have used deep learning models that can automatically extract complex features a...

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Bibliographic Details
Main Authors: Min Zhang, Guohua Geng, Jing Chen
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Entropy
Subjects:
cultural relics
named-entity recognition
semi-supervised learning
embeddings from language models
bidirectional long short-term memory network
conditional random fields
Online Access:https://www.mdpi.com/1099-4300/22/2/252

Internet

https://www.mdpi.com/1099-4300/22/2/252

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