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Syntax-Aware Graph Attention Network for Aspect-Level Sentiment Classification

Lianzhe Huang, Xin Sun, Sujian Li, Linhao Zhang, Houfeng Wang
2020 Proceedings of the 28th International Conference on Computational Linguistics   unpublished
Aspect-level sentiment classification aims to distinguish the sentiment polarities over aspect terms in a sentence.  ...  In this paper, we exploit syntactic awareness to the model by the graph attention network on the dependency tree structure and external pre-training knowledge by BERT language model, which helps to model  ...  Conclusion In this paper, we proposed a model named SAGAT for aspect-level sentiment classification.  ... 
doi:10.18653/v1/2020.coling-main.69 fatcat:puzlhupfwnauzmhtew72syu6lq

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks [article]

Binxuan Huang, Kathleen M. Carley
2019 arXiv   pre-print
In this paper, we propose a novel target-dependent graph attention network (TD-GAT) for aspect level sentiment classification, which explicitly utilizes the dependency relationship among words.  ...  Aspect level sentiment classification aims to identify the sentiment expressed towards an aspect given a context sentence.  ...  Conclusion In this paper, we propose a novel target-dependent graph attention neural network for aspect level sentiment classification.  ... 
arXiv:1909.02606v1 fatcat:kpifsqpvazdjhpfhjmfyrbr2rq

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

Binxuan Huang, Kathleen Carley
2019 Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)  
In this paper, we propose a novel target-dependent graph attention network (TD-GAT) for aspect level sentiment classification, which explicitly utilizes the dependency relationship among words.  ...  Aspect level sentiment classication aims to identify the sentiment expressed towards an aspect given a context sentence.  ...  Conclusion In this paper, we propose a novel target-dependent graph attention neural network for aspect level sentiment classification.  ... 
doi:10.18653/v1/d19-1549 dblp:conf/emnlp/HuangC19a fatcat:debdzy7vlfhjxbg3xlzybiqpga

Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network [article]

Bowen Xing, Ivor W. Tsang
2022 arXiv   pre-print
Aspect-level sentiment classification (ASC) aims to predict the fine-grained sentiment polarity towards a given aspect mentioned in a review.  ...  Our model includes three key components: (1) a knowledge-aware gated recurrent memory network recurrently integrates dynamically summarized aspect knowledge; (2) a dual syntax graph network combines both  ...  and use h cls for sentiment classification. • AEN-BERT [46] adopts BERT encoder and uses the attentional encoder network to model the interactions between the aspect and context. 5) Both of syntax graph  ... 
arXiv:2108.02352v3 fatcat:jg45oufaqbgxtcxoakg3d5wiam

Exploiting Typed Syntactic Dependencies for Targeted Sentiment Classification Using Graph Attention Neural Network [article]

Xuefeng Bai, Pengbo Liu, Yue Zhang
2020 arXiv   pre-print
Recently, graph neural network has been investigated for integrating dependency syntax for the task, achieving the state-of-the-art results.  ...  To solve the problem, we investigate a novel relational graph attention network that integrates typed syntactic dependency information.  ...  The above results indicates that syntax is helpful for targeted sentiment classification.  ... 
arXiv:2002.09685v2 fatcat:3mkjvrnfkfcztfzfntmpsnhatm

DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classification [article]

Bowen Xing, Ivor Tsang
2022 arXiv   pre-print
In aspect-level sentiment classification (ASC), state-of-the-art models encode either syntax graph or relation graph to capture the local syntactic information or global relational information.  ...  In this way, the local syntactic and global relational information can be reconciled as a whole in understanding the aspect-level sentiment.  ...  Tsang was also supported by A * STAR Centre for Frontier AI Research (CFAR).  ... 
arXiv:2201.00989v2 fatcat:fg3ru5t4ibgrtb5rhyvh3ymm5i

Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks [article]

Chen Zhang, Qiuchi Li, Dawei Song
2019 arXiv   pre-print
Due to their inherent capability in semantic alignment of aspects and their context words, attention mechanism and Convolutional Neural Networks (CNNs) are widely applied for aspect-based sentiment classification  ...  clues for judging aspect sentiment.  ...  Introduction Aspect-based (also known as aspect-level) sentiment classification aims at identifying the sentiment polarities of aspects explicitly given in sentences.  ... 
arXiv:1909.03477v2 fatcat:l2aaph7objchnk6jljnesr6vna

Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks

Chen Zhang, Qiuchi Li, Dawei Song
2019 Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)  
Due to their inherent capability in semantic alignment of aspects and their context words, attention mechanism and Convolutional Neural Networks (CNNs) are widely applied for aspect-based sentiment classification  ...  clues for judging aspect sentiment.  ...  Introduction Aspect-based (also known as aspect-level) sentiment classification aims at identifying the sentiment polarities of aspects explicitly given in sentences.  ... 
doi:10.18653/v1/d19-1464 dblp:conf/emnlp/ZhangLS19 fatcat:m3ygym3qi5atberu6gztms7zsi

Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification [article]

Xiaochen Hou, Jing Huang, Guangtao Wang, Xiaodong He, Bowen Zhou
2021 arXiv   pre-print
Aspect-level sentiment classification aims to identify the sentiment polarity towards a specific aspect term in a sentence.  ...  In this paper, we propose to employ graph convolutional networks (GCNs) on the dependency tree to learn syntax-aware representations of aspect terms.  ...  Conclusions We propose a selective attention based GCN model for the aspect-level sentiment classification task.  ... 
arXiv:1910.10857v4 fatcat:5w2nqjodfzdrxjojndqkzzno74

Relational Graph Attention Network for Aspect-based Sentiment Analysis [article]

Kai Wang and Weizhou Shen and Yunyi Yang and Xiaojun Quan and Rui Wang
2020 arXiv   pre-print
Then, we propose a relational graph attention network (R-GAT) to encode the new tree structure for sentiment prediction.  ...  our approach, and the performance of the graph attention network (GAT) is significantly improved as a consequence.  ...  Acknowledgments The work was supported by the Fundamental Research Funds for the Central Universities (No.19lgpy220) and the Program for Guangdong Introducing Innovative and Entrepreneurial Teams (No.2017ZT07X355  ... 
arXiv:2004.12362v1 fatcat:kvinzmao6vakrglj5qhf7rbfum

Learn from Structural Scope: Improving Aspect-Level Sentiment Analysis with Hybrid Graph Convolutional Networks [article]

Lvxiaowei Xu, Xiaoxuan Pang, Jianwang Wu, Ming Cai, Jiawei Peng
2022 arXiv   pre-print
Aspect-level sentiment analysis aims to determine the sentiment polarity towards a specific target in a sentence.  ...  To jointly learn structural Scope and predict the sentiment polarity, we propose a hybrid graph convolutional network (HGCN) to synthesize information from constituency tree and dependency tree, exploring  ...  Introduction Aspect-level sentiment analysis (ALSA) is a fine-grained classification task, aiming at identifying opinion polarities towards specific entities called targets.  ... 
arXiv:2204.12784v1 fatcat:aehhhzp7dnbc7kmrodvlp6etdu

Syntactic Edge-Enhanced Graph Convolutional Networks for Aspect-Level Sentiment Classification with Interactive Attention

Yao Xiao, Guangyou Zhou
2020 IEEE Access  
In this article, we propose a syntactic edge-enhanced graph convolutional network (ASEGCN) for aspect-level sentiment classification with interactive attention.  ...  Aspect-level sentiment classification is a hot research topic in natural language processing (NLP).  ...  ACKNOWLEDGMENT This work was supported in part by the Fundamental Research Funds for the Central Universities (No. KJ02072019-0383). We thank the anonymous reviewers for their insightful comments.  ... 
doi:10.1109/access.2020.3019277 fatcat:o6dl66f37nb33gtwi2q7dmwbtm

Graph Convolutional Networks with Bidirectional Attention for Aspect-Based Sentiment Classification

Jie Liu, Peiyu Liu, Zhenfang Zhu, Xiaowen Li, Guangtao Xu
2021 Applied Sciences  
Aspect-based sentiment classification aims at determining the corresponding sentiment of a particular aspect.  ...  In this paper, we propose an effective and novel method using attention mechanism and graph convolutional network (ATGCN).  ...  Acknowledgments: Thanks to all commenters for their valuable comments. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11041528 fatcat:khq4a74zgrdfdnuhvkyu7pom2u

Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis [article]

Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao
2022 arXiv   pre-print
Aspect-based sentiment analysis (ABSA) is a fine-grained task of sentiment analysis.  ...  Then, KGAN integrates the knowledge graphs into the embedding space, based on which the aspect-specific knowledge representations are further obtained via an attention mechanism.  ...  aspect-level sentiment classification. • RAM [51] : This method employs multiple attention and memory networks to capture the aspect-specific sentence representation. • TNet-AS [6] : Using the CNN as  ... 
arXiv:2201.04831v1 fatcat:3ksibbglbzablmucuw22rjrlom

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training [article]

Zhengyan Li, Yicheng Zou, Chong Zhang, Qi Zhang, Zhongyu Wei
2021 arXiv   pre-print
However, recent neural network-based approaches paid little attention to implicit sentiment entailed in the reviews.  ...  Aspect-based sentiment analysis aims to identify the sentiment polarity of a specific aspect in product reviews.  ...  Acknowledgments The authors wish to thank the anonymous reviewers for their helpful comments.  ... 
arXiv:2111.02194v1 fatcat:y5rtwl4j4rg2xctlm7c5xclifa
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