用于方面情感三元组抽取的词对关系学习方法

doi:10.16451/j.cnki.issn1003-6059.202203006

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Abstract Aspect sentiment triplet extraction is designed to identify aspect items with their sentiment tendencies in a comment and to extract the related opinion items. In most of the existing methods, this type of task is divided into several sub-tasks, and then the task is completed by the pipeline composed of the sub-tasks. However, the methods based on pipeline are affected by error propagation and inconvenience for use in practice. Therefore, a word-pair relation learning method for aspect sentiment triplet extraction is proposed, which transforms the aspect sentiment triplet extraction task into an end-to-end word-pair relation learning task. The method contains a word-pair relation tagging scheme, which can unify word-pair relations in sentences to represent all triplets, and a specially built word-pair relation network to output word-pair relation. Firstly, the sentence is encoded by bidirectional grated recurrent unit and mixed attention. Then, sentence coding is converted into tag probabilities through the attention map transform module. Finally, the triplets are extracted from the result of the word-pair relation tag. In addition, the pre-trained bidirectional encoder representation from transformer is applied to the proposed method. Experiments on four standard datasets show that the proposed method is superior.

Key words： Mixed Attention Triplet Extraction Sentiment Analysis Grid Tagging Natural Language Understanding

Received: 26 October 2021

ZTFLH:

TP 391

Fund:National Natural Science Foundation of China(No.61972182)

Corresponding Authors: XIA Hongbin, Ph.D., associate professor. His research interests include personalized recommendation, natural language processing and network optimization.

About author:: LI Qiang, master student. His research interests include natural language processing and machine learning.
XIAO Yifei, master student. His research interests include natural language processing.

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Cite this article:

XIA Hongbin,LI Qiang,XIAO Yifei. Word-Pair Relation Learning Method for Aspect Sentiment Triplet Extraction[J]. Pattern Recognition and Artificial Intelligence, 2022, 35(3): 262-270.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202203006 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2022/V35/I3/262

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