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Dual Graph Convolutional Networks for Aspect-based ...
Proceedings of the 59th Annual Meeting of the Association for Computational Linguisticsand the 11th International Joint Conference on Natural Language Processing, pages 6319 6329 August 1 6, 2021. 2021 Association for Computational Linguistics6319 Dual Graph Convolutional Networks for Aspect-based sentiment AnalysisRuifan Li1 , Hao Chen1, Fangxiang Feng1,Zhanyu Ma1, Xiaojie WANG1, and Eduard Hovy21 School of Artificial Intelligence, Beijing University of Posts and Telecommunications, China2 Language Technologies Institute, Carnegie Mellon University, USA{rfli, ccchenhao997, fxfeng, mazhanyu, sentiment analysis is a fine-grained sentiment classification , Graph neural Networks over depen-dency trees have been explored to explicitlymodel connections between aspects and opin-ion words.}
Aspect-based sentiment analysis is a fine-grained sentiment classification task. Re-cently, graph neural networks over depen-dency trees have been explored to explicitly model connections between aspects and opin-ion words. However, the improvement is lim-ited due to the inaccuracy of the dependency parsing results and the informal expressions
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