Abstractive text summarization using sequence-to-sequence rnns and beyond R Nallapati, B Zhou, C Gulcehre, B Xiang arXiv preprint arXiv:1602.06023, 2016 | 2852 | 2016 |
A structured self-attentive sentence embedding Z Lin, M Feng, CN Santos, M Yu, B Xiang, B Zhou, Y Bengio arXiv preprint arXiv:1703.03130, 2017 | 2786 | 2017 |
Abcnn: Attention-based convolutional neural network for modeling sentence pairs W Yin, H Schütze, B Xiang, B Zhou Transactions of the Association for computational linguistics 4, 259-272, 2016 | 1188 | 2016 |
Classifying relations by ranking with convolutional neural networks CN Santos, B Xiang, B Zhou arXiv preprint arXiv:1504.06580, 2015 | 733 | 2015 |
Ocgan: One-class novelty detection using gans with constrained latent representations P Perera, R Nallapati, B Xiang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 642 | 2019 |
Lstm-based deep learning models for non-factoid answer selection M Tan, C Santos, B Xiang, B Zhou arXiv preprint arXiv:1511.04108, 2015 | 570 | 2015 |
Applying deep learning to answer selection: A study and an open task M Feng, B Xiang, MR Glass, L Wang, B Zhou 2015 IEEE workshop on automatic speech recognition and understanding (ASRU …, 2015 | 450 | 2015 |
Attentive pooling networks C Santos, M Tan, B Xiang, B Zhou arXiv preprint arXiv:1602.03609, 2016 | 430 | 2016 |
Improved neural relation detection for knowledge base question answering M Yu, W Yin, KS Hasan, C Santos, B Xiang, B Zhou arXiv preprint arXiv:1704.06194, 2017 | 380 | 2017 |
The SuperSID project: Exploiting high-level information for high-accuracy speaker recognition D Reynolds, W Andrews, J Campbell, J Navratil, B Peskin, A Adami, Q Jin, ... 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 355 | 2003 |
Improved representation learning for question answer matching M Tan, C Dos Santos, B Xiang, B Zhou Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 323 | 2016 |
Multi-passage BERT: A globally normalized BERT model for open-domain question answering Z Wang, P Ng, X Ma, R Nallapati, B Xiang arXiv preprint arXiv:1908.08167, 2019 | 313 | 2019 |
Structured prediction as translation between augmented natural languages G Paolini, B Athiwaratkun, J Krone, J Ma, A Achille, R Anubhai, ... arXiv preprint arXiv:2101.05779, 2021 | 291 | 2021 |
Simple question answering by attentive convolutional neural network W Yin, M Yu, B Xiang, B Zhou, H Schütze arXiv preprint arXiv:1606.03391, 2016 | 236 | 2016 |
Combining outputs from multiple machine translation systems AV Rosti, NF Ayan, B Xiang, S Matsoukas, R Schwartz, B Dorr Human Language Technologies 2007: The Conference of the North American …, 2007 | 228 | 2007 |
Supporting clustering with contrastive learning D Zhang, F Nan, X Wei, S Li, H Zhu, K McKeown, R Nallapati, A Arnold, ... arXiv preprint arXiv:2103.12953, 2021 | 205 | 2021 |
Short-time Gaussianization for robust speaker verification B Xiang, UV Chaudhari, J Navrátil, GN Ramaswamy, RA Gopinath 2002 IEEE International Conference on Acoustics, Speech, and Signal …, 2002 | 195 | 2002 |
Sequence-to-sequence rnns for text summarization R Nallapati, B Xiang, B Zhou | 190 | 2016 |
Improved neural network-based multi-label classification with better initialization leveraging label co-occurrence G Kurata, B Xiang, B Zhou Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 163 | 2016 |
Efficient text-independent speaker verification with structural Gaussian mixture models and neural network B Xiang, T Berger IEEE Transactions on Speech and Audio Processing 11 (5), 447-456, 2003 | 162 | 2003 |