| Consert: A contrastive framework for self-supervised sentence representation transfer Y Yan, R Li, S Wang, F Zhang, W Wu, W Xu arXiv preprint arXiv:2105.11741, 2021 | 521 | 2021 |
| Robust distant supervision relation extraction via deep reinforcement learning P Qin, W Xu, WY Wang arXiv preprint arXiv:1805.09927, 2018 | 271 | 2018 |
| DSGAN: Generative adversarial training for distant supervision relation extraction P Qin, W Xu, WY Wang arXiv preprint arXiv:1805.09929, 2018 | 187 | 2018 |
| Guiding generation for abstractive text summarization based on key information guide network C Li, W Xu, S Li, S Gao Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 156 | 2018 |
| An empirical convolutional neural network approach for semantic relation classification P Qin, W Xu, J Guo Neurocomputing 190, 1-9, 2016 | 98 | 2016 |
| An approach to spam detection by naive Bayes ensemble based on decision induction Z Yang, X Nie, W Xu, J Guo Sixth international conference on intelligent systems design and …, 2006 | 79 | 2006 |
| Generative adversarial zero-shot relational learning for knowledge graphs P Qin, X Wang, W Chen, C Zhang, W Xu, WY Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8673-8680, 2020 | 76 | 2020 |
| Modeling discriminative representations for out-of-domain detection with supervised contrastive learning Z Zeng, K He, Y Yan, Z Liu, Y Wu, H Xu, H Jiang, W Xu arXiv preprint arXiv:2105.14289, 2021 | 61 | 2021 |
| Improving abstractive dialogue summarization with graph structures and topic words L Zhao, W Xu, J Guo Proceedings of the 28th International Conference on Computational …, 2020 | 56 | 2020 |
| A deep generative distance-based classifier for out-of-domain detection with mahalanobis space H Xu, K He, Y Yan, S Liu, Z Liu, W Xu Proceedings of the 28th International Conference on Computational …, 2020 | 54 | 2020 |
| Instructionner: A multi-task instruction-based generative framework for few-shot ner L Wang, R Li, Y Yan, Y Yan, S Wang, W Wu, W Xu arXiv preprint arXiv:2203.03903, 2022 | 50 | 2022 |
| A novel negative sampling based on TFIDF for learning word representation P Qin, W Xu, J Guo Neurocomputing 177, 257-265, 2016 | 45 | 2016 |
| Combining word-level and character-level representations for relation classification of informal text D Liang, W Xu, Y Zhao Proceedings of the 2nd Workshop on Representation Learning for NLP, 43-47, 2017 | 42 | 2017 |
| A holistic model of mining product aspects and associated sentiments from online reviews Y Li, Z Qin, W Xu, J Guo Multimedia Tools and Applications 74, 10177-10194, 2015 | 41 | 2015 |
| Construction of semantic bootstrapping models for relation extraction C Zhang, W Xu, Z Ma, S Gao, Q Li, J Guo Knowledge-Based Systems 83, 128-137, 2015 | 38 | 2015 |
| A Study on the CBOW Model's Overfitting and Stability Q Luo, W Xu, J Guo Proceedings of the 5th International Workshop on Web-scale Knowledge …, 2014 | 35 | 2014 |
| Exploiting combined multi-level model for document sentiment analysis S Li, H Zhang, W Xu, G Chen, J Guo 2010 20th International Conference on Pattern Recognition, 4141-4144, 2010 | 35 | 2010 |
| Contrastive zero-shot learning for cross-domain slot filling with adversarial attack K He, J Zhang, Y Yan, W Xu, C Niu, J Zhou Proceedings of the 28th International Conference on Computational …, 2020 | 34 | 2020 |
| Designing an adaptive attention mechanism for relation classification P Qin, W Xu, J Guo 2017 International Joint Conference on Neural Networks (IJCNN), 4356-4362, 2017 | 33 | 2017 |
| Product comparison using comparative relations S Li, ZJ Zha, Z Ming, M Wang, TS Chua, J Guo, W Xu Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 33 | 2011 |
