Qingting Xu
Orcid: 0000-0002-1653-5240
According to our database1,
Qingting Xu
authored at least 17 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
DTDA: Dual-channel Triple-to-quintuple Data Augmentation for Comparative Opinion Quintuple Extraction.
Knowl. Based Syst., 2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Inf. Process. Manag., March, 2024
Decoupling and Refilling: A Simple Data Augmentation Method for Aspect Term Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Low-Resource Comparative Opinion Quintuple Extraction by Data Augmentation with Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Smart "Chef": Verifying the Effect of Role-based Paraphrasing for Aspect Term Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Enhancing Neural Aspect Term Extraction Using Part-Of-Speech and Syntactic Dependency Features.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
2020
A Novel Class-Center Vector Model for Text Classification Using Dependencies and a Semantic Dictionary.
IEEE Access, 2020
Proceedings of the HP3C 2020: 4th International Conference on High Performance Compilation, 2020
2019
Proceedings of the 2019 International Symposium on Theoretical Aspects of Software Engineering, 2019
An Improved Class-Center Method for Text Classification Using Dependencies and WordNet.
Proceedings of the Natural Language Processing and Chinese Computing, 2019
An Efficient and Asymmetrical Feature Mapping Model for Measuring Semantic Similarity.
Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019