Sememe knowledge and auxiliary information enhanced approach for sarcasm detection Z Wen, L Gui, Q Wang, M Guo, X Yu, J Du, R Xu Information Processing & Management 59 (3), 102883, 2022 | 35 | 2022 |
Progressive self-training with discriminator for aspect term extraction Q Wang, Z Wen, Q Zhao, M Yang, R Xu Proceedings of the 2021 conference on empirical methods in natural language …, 2021 | 35 | 2021 |
Summary-aware attention for social media short text abstractive summarization Q Wang, J Ren Neurocomputing 425, 290-299, 2021 | 28 | 2021 |
Label-embedding bi-directional attentive model for multi-label text classification N Liu, Q Wang, J Ren Neural Processing Letters 53, 375-389, 2021 | 26 | 2021 |
Masking and generation: An unsupervised method for sarcasm detection R Wang, Q Wang, B Liang, Y Chen, Z Wen, B Qin, R Xu Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 14 | 2022 |
Abstractive summarization with keyword and generated word attention Q Wang, J Ren 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 6 | 2019 |
In-context learning for few-shot multimodal named entity recognition C Cai, Q Wang, B Liang, B Qin, M Yang, KF Wong, R Xu Findings of the Association for Computational Linguistics: EMNLP 2023, 2969-2979, 2023 | 5 | 2023 |
Sequence prediction model for aspect-level sentiment classification Q Wang, J Ren ECAI 2020, 2196-2203, 2020 | 4 | 2020 |
Reducing spurious correlations in aspect-based sentiment analysis with explanation from large language models Q Wang, K Ding, B Liang, M Yang, R Xu Findings of the Association for Computational Linguistics: EMNLP 2023, 2930-2941, 2023 | 2 | 2023 |
Multi-perspective contrastive learning framework guided by sememe knowledge and label information for sarcasm detection Z Wen, R Wang, X Luo, Q Wang, B Liang, J Du, X Yu, L Gui, R Xu International Journal of Machine Learning and Cybernetics 14 (12), 4119-4134, 2023 | 2 | 2023 |
Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis Q Wang, H Xu, Z Wen, B Liang, M Yang, B Qin, R Xu IEEE Transactions on Affective Computing, 2023 | 2 | 2023 |
Improving sequence labeling with labeled clue sentences Q Wang, Z Wen, K Ding, Q Zhao, M Yang, X Yu, R Xu Knowledge-Based Systems 257, 109828, 2022 | 2 | 2022 |
Interactive fusion network with recurrent attention for multimodal aspect-based sentiment analysis J Wang, Q Wang, Z Wen, X Liang, R Xu CAAI International Conference on Artificial Intelligence, 298-309, 2022 | 2 | 2022 |
LCSEP: A Large-Scale Chinese Dataset for Social Emotion Prediction to Online Trending Topics K Ding, C Fan, Y Ding, Q Wang, Z Wen, J Li, R Xu IEEE Transactions on Computational Social Systems, 2024 | 1 | 2024 |
Event extraction via extracting triggers and arguments simultaneously and matching Q Wang, J Ren 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 1 | 2020 |
Paraphrase Generation with Collaboration between the Forward and the Backward Decoder Q Wang, J Ren 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 1 | 2019 |
In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis Q Wang, H Xu, K Ding, B Liang, R Xu Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
An Unsupervised Method for Sarcasm Detection with Prompts Q Lin, C Lou, B Liang, Q Wang, Z Wen, R Mao, R Xu International Conference on Cognitive Computing, 34-46, 2023 | | 2023 |
RDVI: A Retrieval–Detection Framework for Verbal Irony Detection Z Wen, R Wang, S Chen, Q Wang, K Ding, B Liang, R Xu Electronics 12 (12), 2673, 2023 | | 2023 |
Frequently Asked Question Pair Generation for Rule and Regulation Document K Ding, C Cai, S Huang, R Wang, Q Wang, J Li, G Shi, F Hu, F Li, R Xu International Conference on AI and Mobile Services, 49-63, 2022 | | 2022 |