Kun Xu
Kun Xu
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Cited by
Cited by
Question answering on freebase via relation extraction and textual evidence
K Xu, S Reddy, Y Feng, S Huang, D Zhao
ACL 2016, 2016
Semantic relation classification via convolutional neural networks with simple negative sampling
K Xu, Y Feng, S Huang, D Zhao
EMNLP 2015, 2015
Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network
K Xu, M Yu, Y Feng, Y Song, Z Wang, D Yu
ACL 2019, 2019
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks
K Xu, L Wu, Z Wang, Y Feng, V Sheinin
arXiv preprint arXiv:1804.00823, 2018
Durian: Duration informed attention network for multimodal synthesis
C Yu, H Lu, N Hu, M Yu, C Weng, K Xu, P Liu, D Tuo, S Kang, G Lei, D Su, ...
arXiv preprint arXiv:1909.01700, 2019
Word Mover's Embedding: From Word2Vec to Document Embedding
L Wu, IEH Yen, K Xu, F Xu, A Balakrishnan, PY Chen, P Ravikumar, ...
EMNLP 2018, 2018
Answering natural language questions via phrasal semantic parsing
K Xu, S Zhang, Y Feng, D Zhao
Natural Language Processing and Chinese Computing, 333-344, 2014
Extracting multiple-relations in one-pass with pre-trained transformers
H Wang, M Tan, M Yu, S Chang, D Wang, K Xu, X Guo, S Potdar
arXiv preprint arXiv:1902.01030, 2019
Enhancing key-value memory neural networks for knowledge based question answering
K Xu, Y Lai, Y Feng, Z Wang
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Exploiting rich syntactic information for semantic parsing with graph-to-sequence model
K Xu, L Wu, Z Wang, M Yu, L Chen, V Sheinin
EMNLP 2018, 2018
SQL-to-Text Generation with Graph-to-Sequence Model
K Xu, L Wu, Z Wang, M Yu, L Chen, V Sheinin
EMNLP 2018, 2018
Hybrid question answering over knowledge base and free text
K Xu, Y Feng, S Huang, D Zhao
Coling 2016, 2397-2407, 2016
Improving weakly supervised visual grounding by contrastive knowledge distillation
L Wang, J Huang, Y Li, K Xu, Z Yang, D Yu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Structural information preserving for graph-to-text generation
L Song, A Wang, J Su, Y Zhang, K Xu, Y Ge, D Yu
arXiv preprint arXiv:2102.06749, 2021
Lattice cnns for matching based chinese question answering
Y Lai, Y Feng, X Yu, Z Wang, K Xu, D Zhao
Proceedings of the AAAI conference on artificial intelligence 33 (01), 6634-6641, 2019
Efficient processing of label-constraint reachability queries in large graphs
L Zou, K Xu, JX Yu, L Chen, Y Xiao, D Zhao
Information Systems 40, 47-66, 2014
Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment
K Xu, L Song, Y Feng, Y Song, D Yu
AAAI 2020, 2020
Scalable global alignment graph kernel using random features: From node embedding to graph embedding
L Wu, IEH Yen, Z Zhang, K Xu, L Zhao, X Peng, Y Xia, C Aggarwal
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
On the generation of medical dialogues for COVID-19
W Yang, G Zeng, B Tan, Z Ju, S Chakravorty, X He, S Chen, X Yang, ...
arXiv preprint arXiv:2005.05442, 2020
Relation extraction exploiting full dependency forests
L Jin, L Song, Y Zhang, K Xu, W Ma, D Yu
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8034-8041, 2020
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