Mo Yu
Title
Cited by
Cited by
Year
Target-dependent twitter sentiment classification
L Jiang, M Yu, M Zhou, X Liu, T Zhao
Proceedings of the 49th annual meeting of the association for computational …, 2011
9302011
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
9062017
Comparative study of cnn and rnn for natural language processing
W Yin, K Kann, M Yu, H Schütze
arXiv preprint arXiv:1702.01923, 2017
3712017
Improving lexical embeddings with semantic knowledge
M Yu, M Dredze
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
2852014
Factor-based compositional embedding models
M Yu, M Gormley, M Dredze
NIPS Workshop on Learning Semantics, 95-101, 2014
157*2014
R 3: Reinforced ranker-reader for open-domain question answering
S Wang, M Yu, X Guo, Z Wang, T Klinger, W Zhang, S Chang, G Tesauro, ...
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
1452018
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
1152017
Dilated recurrent neural networks
S Chang, Y Zhang, W Han, M Yu, X Guo, W Tan, X Cui, M Witbrock, ...
Advances in Neural Information Processing Systems, 77-87, 2017
1082017
Simple question answering by attentive convolutional neural network
W Yin, M Yu, B Xiang, B Zhou, H Schütze
arXiv preprint arXiv:1606.03391, 2016
1012016
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
S Wang, M Yu, J Jiang, W Zhang, X Guo, S Chang, Z Wang, T Klinger, ...
International Conference on Learning Representations (ICLR), 2018
862018
Leveraging sentencelevel information with encoder lstm for natural language understanding
G Kurata, B Xiang, B Zhou, M Yu
arXiv preprint arXiv:1601.01530, 2016
80*2016
End-to-end answer chunk extraction and ranking for reading comprehension
Y Yu, W Zhang, K Hasan, M Yu, B Xiang, B Zhou
arXiv preprint arXiv:1610.09996, 2016
78*2016
Image super-resolution via dual-state recurrent networks
W Han, S Chang, D Liu, M Yu, M Witbrock, TS Huang
Proceedings of the IEEE conference on computer vision and pattern …, 2018
772018
Learning composition models for phrase embeddings
M Yu, M Dredze
Transactions of the Association for Computational Linguistics 3, 227-242, 2015
662015
Accelerated mini-batch randomized block coordinate descent method
T Zhao, M Yu, Y Wang, R Arora, H Liu
Advances in neural information processing systems, 3329-3337, 2014
582014
Diverse few-shot text classification with multiple metrics
M Yu, X Guo, J Yi, S Chang, S Potdar, Y Cheng, G Tesauro, H Wang, ...
arXiv preprint arXiv:1805.07513, 2018
562018
Evidence Integration for Multi-hop Reading Comprehension with Graph Neural Networks
L Song, Z Wang, M Yu, Y Zhang, R Florian, D Gildea
IEEE Transactions on Knowledge and Data Engineering, 2020
41*2020
A co-matching model for multi-choice reading comprehension
S Wang, M Yu, S Chang, J Jiang
arXiv preprint arXiv:1806.04068, 2018
392018
Argo: intelligent advertising by mining a user's interest from his photo collections
XJ Wang, M Yu, L Zhang, R Cai, WY Ma
Proceedings of the third international workshop on data mining and audience …, 2009
38*2009
Compound embedding features for semi-supervised learning
M Yu, T Zhao, D Dong, H Tian, D Yu
Proceedings of the 2013 Conference of the North American Chapter of the …, 2013
342013
The system can't perform the operation now. Try again later.
Articles 1–20