Learning semantic word embeddings based on ordinal knowledge constraints Q Liu, H Jiang, S Wei, ZH Ling, Y Hu Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 161 | 2015 |
Speaker-aware BERT for multi-turn response selection in retrieval-based chatbots JC Gu, T Li, Q Liu, ZH Ling, Z Su, S Wei, X Zhu Proceedings of the 29th ACM International Conference on Information …, 2020 | 153 | 2020 |
Probabilistic reasoning via deep learning: Neural association models Q Liu, H Jiang, A Evdokimov, ZH Ling, X Zhu, S Wei, Y Hu IJCAI 2016 Workshop on Deep Learning for Artificial Intelligence, 2016 | 131 | 2016 |
Interactive matching network for multi-turn response selection in retrieval-based chatbots JC Gu, ZH Ling, Q Liu proceedings of the 28th ACM international conference on information and …, 2019 | 68 | 2019 |
Dually interactive matching network for personalized response selection in retrieval-based chatbots JC Gu, ZH Ling, X Zhu, Q Liu Proc. EMNLP 2020, 1845-1854, 2019 | 65 | 2019 |
Combing context and commonsense knowledge through neural networks for solving winograd schema problems Q Liu, H Jiang, ZH Ling, X Zhu, S Wei, Y Hu 2017 aaai spring symposium series, 2017 | 43 | 2017 |
Program enhanced fact verification with verbalization and graph attention network X Yang, F Nie, Y Feng, Q Liu, Z Chen, X Zhu arXiv preprint arXiv:2010.03084, 2020 | 42 | 2020 |
Utterance-to-utterance interactive matching network for multi-turn response selection in retrieval-based chatbots JC Gu, ZH Ling, Q Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 369-379, 2019 | 28 | 2019 |
Exploring unsupervised pretraining and sentence structure modelling for winograd schema challenge YP Ruan, X Zhu, ZH Ling, Z Shi, Q Liu, S Wei arXiv preprint arXiv:1904.09705, 2019 | 26 | 2019 |
End-to-End Transition-Based Online Dialogue Disentanglement. H Liu, Z Shi, JC Gu, Q Liu, S Wei, X Zhu Proc. IJCAI 2020, 3868-3874, 2020 | 25 | 2020 |
Dialbert: A hierarchical pre-trained model for conversation disentanglement T Li, JC Gu, X Zhu, Q Liu, ZH Ling, Z Su, S Wei arXiv preprint arXiv:2004.03760, 2020 | 24 | 2020 |
Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems. Q Liu, H Jiang, A Evdokimov, ZH Ling, X Zhu, S Wei, Y Hu Proc. IJCAI 2017, 2344-2350, 2017 | 22 | 2017 |
Part-of-speech relevance weights for learning word embeddings Q Liu, ZH Ling, H Jiang, Y Hu arXiv preprint arXiv:1603.07695, 2016 | 22 | 2016 |
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots JC Gu, ZH Ling, Q Liu, Z Chen, X Zhu Proc. EMNLP Findings, 1412–1422, 2020 | 21 | 2020 |
Commonsense knowledge enhanced embeddings for solving pronoun disambiguation problems in winograd schema challenge Q Liu, H Jiang, ZH Ling, X Zhu, S Wei, Y Hu arXiv preprint arXiv:1611.04146, 2016 | 21 | 2016 |
USTC-NELSLIP at SemEval-2022 task 11: gazetteer-adapted integration network for multilingual complex named entity recognition B Chen, JY Ma, J Qi, W Guo, ZH Ling, Q Liu arXiv preprint arXiv:2203.03216, 2022 | 20 | 2022 |
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots JC Gu, H Liu, ZH Ling, Q Liu, Z Chen, X Zhu Proc. SIGIR 2021, 565–574, 2021 | 19 | 2021 |
Fine-tuning bert for schema-guided zero-shot dialogue state tracking YP Ruan, ZH Ling, JC Gu, Q Liu arXiv preprint arXiv:2002.00181, 2020 | 19 | 2020 |
Several experiments on investigating pretraining and knowledge-enhanced models for natural language inference T Li, X Zhu, Q Liu, Q Chen, Z Chen, S Wei arXiv preprint arXiv:1904.12104, 2019 | 19 | 2019 |
The USTC-NEL speech translation system at IWSLT 2018 D Liu, J Liu, W Guo, S Xiong, Z Ma, R Song, C Wu, Q Liu arXiv preprint arXiv:1812.02455, 2018 | 15 | 2018 |