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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Min Zhang, Guohua Geng, Jing Chen
التنسيق: مقال
اللغة:English
منشور في: MDPI AG 2020-02-01
سلاسل:Entropy
الموضوعات:
cultural relics
named-entity recognition
semi-supervised learning
embeddings from language models
bidirectional long short-term memory network
conditional random fields
الوصول للمادة أونلاين:https://www.mdpi.com/1099-4300/22/2/252

الانترنت

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

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