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Neural transition model for aspect-based sentiment triplet extraction with triplet memory
Neurocomputing, 2021Abstract The aspect-based sentiment triplet extraction (ASTE), as a complete sentiment analysis task, aims to recognize the aspect term, the opinion expression, and the sentiment polarity in a sentence. Current state-of-the-art ASTE models employ a joint extracting scheme for better task improvements.
Shengqiong Wu +4 more
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Span-based dual-decoder framework for aspect sentiment triplet extraction
Neurocomputing, 2022Zequen Zhang
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A survey on aspect sentiment triplet extraction methods and challenges
Computer Science Reviewwang zou
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Sentiment-Enhanced Triplet Region Detection Framework for aspect sentiment triplet extraction
NeurocomputingHuihui Li
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Exploiting Duality in Aspect Sentiment Triplet Extraction With Sequential Prompting
IEEE Transactions on Knowledge and Data EngineeringJingping Liu, Chao Wang, Haiyun Jiang
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Hierarchical Sequence Labeling Model for Aspect Sentiment Triplet Extraction
2020Aspect sentiment triplet extraction is an emerging task in aspect-based sentiment analysis, which aims at simultaneously identifying the aspect, the opinion expression, and the sentiment from a given review sentence. Existing studies divide this task into many sub-tasks and process them in a pipeline manner, which ignores the relevance between ...
Peng Chen, Shaowei Chen, Jie Liu 0007
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Span-based syntactic feature fusion for aspect sentiment triplet extraction
Information FusionGuangtao Xu +4 more
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Dual-Channel Span for Aspect Sentiment Triplet Extraction
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023Pan Li, Ping Li, Kai Zhang
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Document-Level Sentiment Knowledge Transfer Network for Aspect Sentiment Triplet Extraction
2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), 2022Long Tan, Zixian Su
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