Dongxu Zhang
Citeras av
Citeras av
Relation classification via recurrent neural network
D Zhang, D Wang
arXiv preprint arXiv:1508.01006, 2015
Joint semantic relevance learning with text data and graph knowledge
D Zhang, B Yuan, D Wang, R Liu
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their …, 2015
Smoothing the geometry of probabilistic box embeddings
X Li, L Vilnis, D Zhang, M Boratko, A McCallum
International Conference on Learning Representations, 2018
Word embedding perturbation for sentence classification
D Zhang, Z Yang
arXiv preprint arXiv:1804.08166, 2018
Learning from LDA using deep neural networks
D Zhang, T Luo, D Wang
International Conference on Computer Processing of Oriental Languages, 657-664, 2016
Improving Local Identifiability in Probabilistic Box Embeddings
SS Dasgupta, M Boratko, D Zhang, L Vilnis, XL Li, A McCallum
arXiv preprint arXiv:2010.04831, 2020
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
D Zhang, S Mukherjee, C Lockard, XL Dong, A McCallum
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
PKU@ CLSciSumm-17: Citation Contextualization
D Zhang, S Li
Proc. of the 2nd Joint Workshop on Bibliometric-enhanced Information …, 2017
Bitext Name Tagging for Cross-lingual Entity Annotation Projection
D Zhang, B Zhang, X Pan, X Feng, H Ji, W Xu
COLING, 461–470, 2016
BUPT_PRIS at TREC 2014 knowledge base acceleration track
Y Qi, Y Xu, D Zhang, W Xu
Proceedings of the Twenty-Third Text Retrieval Conference (TREC 2014), 2014
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
A Rooshenas, D Zhang, G Sharma, A McCallum
arXiv preprint arXiv:1812.09603, 2018
Box-To-Box Transformation for Modeling Joint Hierarchies
SS Dasgupta, X Li, M Boratko, D Zhang, A McCallum
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
M Boratko, D Zhang, N Monath, L Vilnis, KL Clarkson, A McCallum
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
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