DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis-Reference-Cited by-同舟云学术

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DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis

Published:2023 Issue: Volume: Page:
ISSN:
Container-title:Findings of the Association for Computational Linguistics: ACL 2023
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Author:

Li Bobo,Fei Hao,Li Fei,Wu Yuhan,Zhang Jinsong,Wu Shengqiong,Li Jingye,Liu Yijiang,Liao Lizi,Chua Tat-Seng,Ji Donghong

Publisher

Association for Computational Linguistics

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leveraging syntax-aware models and triaffine interactions for nominal compound chain extraction;Journal of King Saud University - Computer and Information Sciences;2024-09

2. TGAT-DGL: Triple Graph Attention Networks on Dual-Granularity Level for Multi-party Dialogue Reading Comprehension;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Advancing Urdu NLP: Aspect-Based Sentiment Analysis with Graph Attention Networks;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Modeling implicit variable and latent structure for aspect-based sentiment quadruple extraction;Neurocomputing;2024-06

5. Dynamic Multi-Scale Context Aggregation for Conversational Aspect-Based Sentiment Quadruple Analysis;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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