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MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction [PDF]
Conference on Empirical Methods in Natural Language ProcessingAspect Sentiment Triplet Extraction (ASTE) aims to co-extract the sentiment triplets in a given corpus. Existing approaches within the pretraining-finetuning paradigm tend to either meticulously craft complex tagging schemes and classification heads, or ...
Qiao Sun +4 more
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Exploiting Duality in Aspect Sentiment Triplet Extraction With Sequential Prompting
IEEE Transactions on Knowledge and Data EngineeringAspect sentiment triplet extraction is an important task in natural language processing. Previous work tends to focus on the interaction between the aspect and opinion, while ignoring the positive impact of sentiment on interaction within the triplet. In
Jingping Liu +7 more
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International Conference on Language Resources and EvaluationAspect Sentiment Triple Extraction (ASTE) is an emerging task in fine-grained sentiment analysis. Recent studies have employed Graph Neural Networks (GNN) to model the syntax-semantic relationships inherent in triplet elements.
Xiaowei Zhao, Yong Zhou, Xiujuan Xu
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Learning Cooperative Interactions for Multi-Overlap Aspect Sentiment Triplet Extraction [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 Shiman Zhao, Wei Chen, Tengjiao Wang
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A unified review of aspect sentiment triplet extraction methods in aspect-based sentiment analysis
Knowledge and Information SystemsRu Yang +5 more
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Enhancing aspect and opinion terms semantic relation for aspect sentiment triplet extraction
Journal of Intelligent Information Systems, 2022Yongsheng Zhang +4 more
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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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HIM: An End-to-End Hierarchical Interaction Model for Aspect Sentiment Triplet Extraction
IEEE/ACM Transactions on Audio Speech and Language Processing, 2023Aspect Sentiment Triplet Extraction (ASTE) is an emerging task of fine-grained sentiment analysis, which aims to extract aspect terms, associated opinion terms, and sentiment polarities in the form of triplets. Thus, ASTE involves two groups of subtasks:
Yaxin Liu +5 more
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Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Aspect sentiment triplet extraction (ASTE) is a task which extracts aspect terms, opinion terms, and sentiment polarities as triplets from review sentences. Existing approaches have developed bidirectional structures for term interaction.
Dongxu Li +5 more
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Aspect sentiment triplet extraction (ASTE) is a task which extracts aspect terms, opinion terms, and sentiment polarities as triplets from review sentences. Existing approaches have developed bidirectional structures for term interaction.
Dongxu Li +5 more
semanticscholar +1 more source
A survey on aspect sentiment triplet extraction methods and challenges
Computer Science ReviewWang Zou +5 more
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