Dual graph convolutional networks integrating affective knowledge and position information for aspect sentiment triplet extraction [PDF]
Frontiers in Neurorobotics, 2023 Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in natural language processing (NLP) that aims to extract triplets from comments. Each triplet comprises an aspect term, an opinion term, and the sentiment polarity of the aspect term.
Yanbo Li, Qing He, Damin Zhang
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Aspect Sentiment Triplet Extraction with Syntax-Semantics Graph Convolutional Network [PDF]
International Journal of Computational Intelligence SystemsIn the traditional task of aspect sentiment triplet extraction, existing approaches typically focus on either syntactic or semantic features independently, failing to leverage the complementary integration of these two types of information.
Jingyun Zhang +3 more
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Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction [PDF]
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from sentences, where each triplet includes an entity, its associated sentiment, and the opinion span explaining the reason for the sentiment.Most existing research addresses this problem in a multi-stage pipeline manner, which neglects the mutual information between such three ...
Zhexue Chen +4 more
semanticscholar +6 more sources
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction [PDF]
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Aspect sentiment triplet extraction (ASTE), which aims to identify aspects from review sentences along with their corresponding opinion expressions and sentiments, is an emerging task in fine-grained opinion mining. Since ASTE consists of multiple subtasks, including opinion entity extraction, relation detection, and sentiment classification, it is ...
Chen, Shaowei +3 more
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Position-Aware Tagging for Aspect Sentiment Triplet Extraction [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 15 pages, 10 figures, accepted by EMNLP ...
Xu, Lu, Li, Hao, Lu, Wei, Bing, Lidong
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A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task [PDF]
Mathematics, 2023 Sentiment analysis aims to systematically study affective states and subjective information in digital text through computational methods. Aspect Sentiment Triplet Extraction (ASTE), a subtask of sentiment analysis, aims to extract aspect term, sentiment
Yuncong Li, Fang Wang, Sheng-hua Zhong
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Aspect Sentiment Triplet Extraction Based on Deep Relationship Enhancement Networks
Applied SciencesThe task of aspect-based sentiment analysis (ASBA) is to identify all the sentiment analyses expressed by specific aspect words in the text. How to identify specific objects (i.e., aspect words), describe the modifiers of the specific objects (i.e ...
Jun Peng, Baohua Su
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Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 ACL 2021, long paper, main ...
Xu, Lu, Chia, Yew Ken, Bing, Lidong
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Aspect Sentiment Triplet Extraction Using Reinforcement Learning [PDF]
Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021 CIKM ...
Jian, Samson Yu Bai +3 more
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Opinion Triplet Extraction for Aspect-Based Sentiment Analysis Using Co-Extraction Approach
Journal of ICT, 2022 In aspect-based sentiment analysis, tasks are diverse and consist of aspect term extraction, aspect categorization, opinion term extraction, sentiment polarity classification, and relation extractions of aspect and opinion terms.
Rifo Ahmad Genadi +1 more
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