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Fangzhou Zhai
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2020 – today
- 2022
- [c7]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. Insights@ACL 2022: 62-67 - [c6]Fangzhou Zhai, Vera Demberg, Alexander Koller:
Zero-shot Script Parsing. COLING 2022: 4049-4060 - [i2]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. CoRR abs/2204.09371 (2022) - [i1]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages. CoRR abs/2206.01476 (2022) - 2021
- [c5]Lucia Donatelli, Theresa Schmidt, Debanjali Biswas
, Arne Köhn, Fangzhou Zhai, Alexander Koller
Aligning Actions Across Recipe Graphs. EMNLP (1) 2021: 6930-6942 - [c4]Fangzhou Zhai, Iza Skrjanec, Alexander Koller
Script Parsing with Hierarchical Sequence Modelling. *SEM 2021: 195-201 - 2020
- [c3]Fangzhou Zhai, Vera Demberg, Alexander Koller:
Story Generation with Rich Details. COLING 2020: 2346-2351
2010 – 2019
- 2018
- [c2]Fangzhou Zhai, Yue Fan, Tejaswani Verma, Rupali Sinha, Dietrich Klakow:
A Dataset and a Novel Neural Approach for Optical Gregg Shorthand Recognition. TSD 2018: 222-230 - 2010
- [c1]Liqiang Guo, Fangzhou Zhai, Yan Shao, Xiaojun Wan:
PKUTM at TREC 2010 Blog Track. TREC 2010
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