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Chunchuan Lyu
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Books and Theses
- 2021
- [b1]Chunchuan Lyu:
Graph-based broad-coverage semantic parsing. University of Edinburgh, UK, 2021
Journal Articles
- 2022
- [j1]Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen:
Nonparametric Learning of Two-Layer ReLU Residual Units. Trans. Mach. Learn. Res. 2022 (2022)
Conference and Workshop Papers
- 2022
- [c7]André F. T. Martins, Ben Peters, Chrysoula Zerva, Chunchuan Lyu, Gonçalo M. Correia, Marcos V. Treviso, Pedro Henrique Martins, Tsvetomila Mihaylova:
DeepSPIN: Deep Structured Prediction for Natural Language Processing. EAMT 2022: 325-326 - 2021
- [c6]Chunchuan Lyu, Shay B. Cohen, Ivan Titov:
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing. EMNLP (1) 2021: 9075-9091 - [c5]Jing Liu, Rupak Vignesh Swaminathan, Sree Hari Krishnan Parthasarathi, Chunchuan Lyu, Athanasios Mouchtaris, Siegfried Kunzmann:
Exploiting Large-Scale Teacher-Student Training for On-Device Acoustic Models. TDS 2021: 413-424 - 2019
- [c4]Chunchuan Lyu, Shay B. Cohen, Ivan Titov:
Semantic Role Labeling with Iterative Structure Refinement. EMNLP/IJCNLP (1) 2019: 1071-1082 - [c3]Xinchi Chen, Chunchuan Lyu, Ivan Titov:
Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks. EMNLP/IJCNLP (1) 2019: 5414-5424 - 2018
- [c2]Chunchuan Lyu, Ivan Titov:
AMR Parsing as Graph Prediction with Latent Alignment. ACL (1) 2018: 397-407 - 2015
- [c1]Chunchuan Lyu, Kaizhu Huang
, Hai-Ning Liang
:
A Unified Gradient Regularization Family for Adversarial Examples. ICDM 2015: 301-309
Editorship
- 2022
- [e1]Andreas Vlachos, Priyanka Agrawal, André F. T. Martins, Gerasimos Lampouras, Chunchuan Lyu:
Proceedings of the Sixth Workshop on Structured Prediction for NLP, SPNLP@ACL 2022, Dublin, Ireland, May 27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-51-3 [contents]
Informal and Other Publications
- 2021
- [i7]Jing Liu, Rupak Vignesh Swaminathan, Sree Hari Krishnan Parthasarathi, Chunchuan Lyu, Athanasios Mouchtaris, Siegfried Kunzmann:
Exploiting Large-scale Teacher-Student Training for On-device Acoustic Models. CoRR abs/2106.06126 (2021) - 2020
- [i6]Zhunxuan Wang, Linyun He, Chunchuan Lyu, Shay B. Cohen:
Learning Two-Layer Residual Networks with Nonparametric Function Estimation by Convex Programming. CoRR abs/2008.07648 (2020) - [i5]Chunchuan Lyu, Shay B. Cohen, Ivan Titov:
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing. CoRR abs/2010.12676 (2020) - 2019
- [i4]Chunchuan Lyu, Shay B. Cohen, Ivan Titov:
Semantic Role Labeling with Iterative Structure Refinement. CoRR abs/1909.03285 (2019) - [i3]Xinchi Chen, Chunchuan Lyu, Ivan Titov:
Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks. CoRR abs/1910.03136 (2019) - 2018
- [i2]Chunchuan Lyu, Ivan Titov:
AMR Parsing as Graph Prediction with Latent Alignment. CoRR abs/1805.05286 (2018) - 2015
- [i1]Chunchuan Lyu, Kaizhu Huang, Hai-Ning Liang:
A Unified Gradient Regularization Family for Adversarial Examples. CoRR abs/1511.06385 (2015)
Coauthor Index

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