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Lichao Zhu
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2020 – today
- 2023
- [c7]Maud Bénard, Alexandra Mestivier, Natalie Kübler, Lichao Zhu, Rachel Bawden, Éric Villemonte de la Clergerie, Laurent Romary, Mathilde Huguin, Jean-François Nominé, Ziqian Peng, François Yvon:
MaTOS: Traduction automatique pour la science ouverte. ARTS@CORIA-TALN 2023: 8-15 - [c6]Lichao Zhu, Maria Zimina, Maud Bénard, Behnoosh Namdar, Nicolas Ballier, Guillaume Wisniewski, Jean-Baptiste Yunès:
Investigating Techniques for a Deeper Understanding of Neural Machine Translation (NMT) Systems through Data Filtering and Fine-tuning Strategies. WMT 2023: 275-281 - [c5]Fabien Lopez, Gabriela González Sáez, Damien Hansen, Mariam Nakhlé, Behnoosh Namdarzadeh, Nicolas Ballier, Marco Dinarelli, Emmanuelle Esperança-Rodier, Sui He, Sadaf Mohseni, Caroline Rossi, Didier Schwab, Jun Yang, Jean-Baptiste Yunès, Lichao Zhu:
The MAKE-NMTVIZ System Description for the WMT23 Literary Task. WMT 2023: 287-295 - 2022
- [c4]Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon:
Analyzing Gender Translation Errors to Identify Information Flows between the Encoder and Decoder of a NMT System. BlackboxNLP@EMNLP 2022: 153-163 - [c3]Nicolas Ballier, Jean-Baptiste Yunès, Guillaume Wisniewski, Lichao Zhu, Maria Zimina-Poirot:
The SPECTRANS System Description for the WMT22 Biomedical Task. WMT 2022: 895-900 - [i1]Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon:
Screening Gender Transfer in Neural Machine Translation. CoRR abs/2202.12568 (2022) - 2021
- [c2]Guillaume Wisniewski, Lichao Zhu, Nicolas Ballier, François Yvon:
Screening Gender Transfer in Neural Machine Translation. BlackboxNLP@EMNLP 2021: 311-321
2010 – 2019
- 2018
- [j2]Gaël Lejeune, Lichao Zhu:
A New Proposal for Evaluating Web Page Cleaning Tools. Computación y Sistemas 22(4) (2018) - 2017
- [j1]Lichao Zhu, Hangzhou Yang, Zhijun Yan:
Mining medical related temporal information from patients' self-description. Int. J. Crowd Sci. 1(2): 110-120 (2017) - [c1]Lichao Zhu, Hangzhou Yang, Zhijun Yan:
Extracting Temporal Information from Online Health Communities. ICCSE 2017: 50-55
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