Hangfeng He
Hangfeng He
Ph.D. Candidate of Computer Science, University of Pennsylvania
Geverifieerd e-mailadres voor seas.upenn.edu - Homepage
Geciteerd door
Geciteerd door
A unified model for cross-domain and semi-supervised named entity recognition in chinese social media
H He, X Sun
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
F-score driven max margin neural network for named entity recognition in chinese social media
H He, X Sun
arXiv preprint arXiv:1611.04234, 2016
Detecting negation scope is easy, except when it isn’t
F Fancellu, A Lopez, B Webber, H He
Proceedings of the 15th Conference of the European Chapter of the …, 2017
Cross-domain and semisupervised named entity recognition in chinese social media: A unified model
J Xu, H He, X Sun, X Ren, S Li
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (11 …, 2018
QuASE: Question-answer driven sentence encoding
H He, Q Ning, D Roth
arXiv preprint arXiv:1909.00333, 2019
The local elasticity of neural networks
H He, WJ Su
arXiv preprint arXiv:1910.06943, 2019
Label-aware neural tangent kernel: Toward better generalization and local elasticity
S Chen, H He, WJ Su
arXiv preprint arXiv:2010.11775, 2020
Partial Or Complete, That's The Question
Q Ning, H He, C Fan, D Roth
arXiv preprint arXiv:1906.04937, 2019
Layer-peeled model: Toward understanding well-trained deep neural networks
C Fang, H He, Q Long, WJ Su
arXiv preprint arXiv:2101.12699, 2021
Toward better generalization bounds with locally elastic stability
Z Deng, H He, W Su
International Conference on Machine Learning, 2590-2600, 2021
Towards understanding the dynamics of the first-order adversaries
Z Deng, H He, J Huang, W Su
International Conference on Machine Learning, 2484-2493, 2020
Understanding spatial relations through multiple modalities
S Dan, H He, D Roth
arXiv preprint arXiv:2007.09551, 2020
Foreshadowing the benefits of incidental supervision
H He, M Zhang, Q Ning, D Roth
arXiv preprint arXiv:2006.05500, 2020
Robust learning rate selection for stochastic optimization via splitting diagnostic
M Sordello, H He, W Su
arXiv preprint arXiv:1910.08597, 2019
Weighted Training for Cross-Task Learning
S Chen, K Crammer, H He, D Roth, WJ Su
arXiv preprint arXiv:2105.14095, 2021
QANom: Question-Answer driven SRL for Nominalizations
A Klein, J Mamou, V Pyatkin, D Stepanov, H He, D Roth, L Zettlemoyer, ...
Proceedings of the 28th International Conference on Computational …, 2020
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–16