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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A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction [PDF]
, 2023 Aspect Sentiment Triplet Extraction (ASTE) aims to extract the triplet of an aspect term, an opinion term, and their corresponding sentiment polarity from the review texts.
Hu, Gongzhen +3 more
core +3 more sources
Part-of-speech based label update network for aspect sentiment triplet extraction
Journal of King Saud University: Computer and Information SciencesAspect sentiment triplet analysis (ASTE) is a nuanced task that entails the extraction of all triplets from a user comment, where each triplet consist of an aspect term, an opinion term, and the associated sentiment polarity of the aspect term.
Yanbo Li, Qing He, Liu Yang
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A Multi-Task Dual-Encoder Framework for Aspect Sentiment Triplet Extraction [PDF]
IEEE Access, 2022 Aspect Sentiment Triplet Extraction (ASTE) is a complex and important task in aspect-based sentiment analysis task, which aims to extract aspect-sentiment-opinion triplets from review sentences, to acquire comprehensive information for sentiment analysis.
Hai Huan +3 more
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Span-Level Dual-Encoder Model for Aspect Sentiment Triplet Extraction [PDF]
Jisuanji kexue yu tansuo, 2023 Aspect sentiment triplet extraction (ASTE) is one of the subtasks of aspect-based sentiment analysis, which aims to identify all aspect terms, their corresponding opinion terms and sentiment polarities in sentences.
ZHANG Yunqi, LI Songda, LAN Yuquan, LI Dongxu, ZHAO Hui
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STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction [PDF]
, 2022 Aspect Sentiment Triplet Extraction (ASTE) has become an emerging task in sentiment analysis research, aiming to extract triplets of the aspect term, its corresponding opinion term, and its associated sentiment polarity from a given sentence.
Chen, Dangyang +5 more
core +2 more sources
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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A More Fine-Grained Aspect–Sentiment–Opinion Triplet Extraction Task
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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External-knowledge enhanced dual encoder and contrastive learning for aspect sentiment triplet extraction. [PDF]
PLoS ONEAspect Sentiment Triplet Extraction (ASTE) is an emerging subtask of Aspect-Based Sentiment Analysis (ABSA), aiming to extract aspect terms, opinion terms, and the corresponding sentiment polarity from sentences.
Yuan Huang +3 more
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Aspect Sentiment Triplet Extraction Based on Deep Relationship Enhancement Networks [PDF]
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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