Semantic relation classification via convolutional neural networks with simple negative sampling K Xu, Y Feng, S Huang, D Zhao arXiv preprint arXiv:1506.07650, 2015 | 240 | 2015 |
Question answering on freebase via relation extraction and textual evidence K Xu, S Reddy, Y Feng, S Huang, D Zhao arXiv preprint arXiv:1603.00957, 2016 | 187 | 2016 |
Learning with noise: Enhance distantly supervised relation extraction with dynamic transition matrix B Luo, Y Feng, Z Wang, Z Zhu, S Huang, R Yan, D Zhao arXiv preprint arXiv:1705.03995, 2017 | 52 | 2017 |
Hierarchical Bayesian language models for conversational speech recognition S Huang, S Renals IEEE Transactions on Audio, Speech, and Language Processing 18 (8), 1941-1954, 2010 | 43 | 2010 |
Hybrid question answering over knowledge base and free text K Xu, Y Feng, S Huang, D Zhao Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 34 | 2016 |
Hierarchical Pitman-Yor language models for ASR in meetings S Huang, S Renals 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU …, 2007 | 34 | 2007 |
Marrying up regular expressions with neural networks: A case study for spoken language understanding B Luo, Y Feng, Z Wang, S Huang, R Yan, D Zhao arXiv preprint arXiv:1805.05588, 2018 | 23 | 2018 |
Cross-language document summarization via extraction and ranking of multiple summaries X Wan, F Luo, X Sun, S Huang, J Yao Knowledge and Information Systems 58 (2), 481-499, 2019 | 20 | 2019 |
Unsupervised language model adaptation based on topic and role information in multiparty meetings S Huang, S Renals Ninth Annual Conference of the International Speech Communication Association, 2008 | 18 | 2008 |
Enhancing freebase question answering using textual evidence K Xu, Y Feng, S Reddy, S Huang, D Zhao arXiv preprint arXiv:1603.00957, 2016 | 17 | 2016 |
Question answering via phrasal semantic parsing K Xu, Y Feng, S Huang, D Zhao International Conference of the Cross-Language Evaluation Forum for European …, 2015 | 16 | 2015 |
Noise-robust semi-supervised learning by large-scale sparse coding Z Lu, X Gao, L Wang, JR Wen, S Huang Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 16 | 2015 |
The IBM speech-to-speech translation system for smartphone: Improvements for resource-constrained tasks B Zhou, X Cui, S Huang, M Cmejrek, W Zhang, J Xue, J Cui, B Xiang, ... Computer Speech & Language 27 (2), 592-618, 2013 | 14 | 2013 |
Power law discounting for n-gram language models S Huang, S Renals 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 13 | 2010 |
Sentiment domain adaptation with multi-level contextual sentiment knowledge F Wu, S Wu, Y Huang, S Huang, Y Qin Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 11 | 2016 |
Weakly supervised matrix factorization for noisily tagged image parsing Y Niu, Z Lu, S Huang, P Han, JR Wen Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 11 | 2015 |
An EM algorithm for SCFG in formal syntax-based translation S Huang, B Zhou 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 10 | 2009 |
Modeling prosodic features in language models for meetings. S Huang, S Renals Springer-Verlag Berlin Heidelberg, 2007 | 10 | 2007 |
Modeling topic and role information in meetings using the hierarchical Dirichlet process S Huang, S Renals International Workshop on Machine Learning for Multimodal Interaction, 214-225, 2008 | 9 | 2008 |
Encoding relation requirements for relation extraction via joint inference L Chen, Y Feng, S Huang, Y Qin, D Zhao Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 8 | 2014 |