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Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Yice Zhang   +5 more
openaire   +1 more source

Multiscale feature aggregation network for aspect sentiment triplet extraction

Applied Intelligence, 2023
Linan Zhu   +4 more
openaire   +1 more source

Fusing semantic and syntactic information for aspect sentiment triplet extraction

Journal of Intelligent & Fuzzy Systems
Aspect Sentiment Triplet Extraction (ASTE) aims to extract aspect terms, sentiment polarity and opinion terms explaining the reason for the sentiment from a sentence in the form of triplets. Many existing studies model the context by graph neural networks to learn relevant information from the generated graphs.
Su, Na, Wang, Anqi, Zhang, Lingzhi
openaire   +1 more source

Current treatment and recent progress in gastric cancer

Ca-A Cancer Journal for Clinicians, 2021
Smita S Joshi, Brian D Badgwell
exaly  

Double embedding and bidirectional sentiment dependence detector for aspect sentiment triplet extraction

Knowledge-Based Systems, 2022
Dawei Dai   +4 more
openaire   +1 more source

Female erectile tissues and sexual dysfunction after pelvic radiotherapy: A scoping review

Ca-A Cancer Journal for Clinicians, 2022
Deborah C Marshall, Mas   +2 more
exaly  

Enantioselective Photochemical Reactions Enabled by Triplet Energy Transfer

Chemical Reviews, 2022
Thomas Rigotti, Thorsten Bach
exaly  

Span-Based Attention Decoder Framework For Aspect Sentiment Triplet Extraction

2023 IEEE 3rd International Conference on Computer Systems (ICCS), 2023
Qinghao Zhong   +3 more
openaire   +1 more source

Dual-Encoder Attention Fusion Model for Aspect Sentiment Triplet Extraction

2023 International Joint Conference on Neural Networks (IJCNN), 2023
Yunqi Zhang   +4 more
openaire   +1 more source

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