Meta-based self-training and re-weighting for aspect-based sentiment analysis

Meta-based self-training and re-weighting for aspect-based sentiment analysis

Aspect-based sentiment analysis (ABSA) means to identify fine-grained aspects, opinions, and sentiment polarities. Recent ABSA research focuses on utilizing multi-task learning (MTL) to achieve less computational costs and better performance. However, there are certain limits in MTL-based ABSA. For...

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Hlavní autoři: He, Kai, Mao, Rui, Gong, Tieliang, Li, Chen, Cambria, Erik
Další autoři: School of Computer Science and Engineering
Médium: Journal Article
Jazyk:English
Vydáno: 2022
Témata:
Engineering::Computer science and engineering
Aspect-Based Sentiment Analysis
Meta Learning
On-line přístup:https://hdl.handle.net/10356/163145

Internet

https://hdl.handle.net/10356/163145

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