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ORCIDYuning Ding
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2020 – today
- 2024
[c12]Nils-Jonathan Schaller, Yuning Ding, Andrea Horbach, Jennifer Meyer, Thorben Jansen:
Fairness in Automated Essay Scoring: A Comparative Analysis of Algorithms on German Learner Essays from Secondary Education. BEA 2024: 210-221- [c11]Yuning Ding, Julian Lohmann, Nils-Jonathan Schaller, Thorben Jansen, Andrea Horbach:
Transfer Learning of Argument Mining in Student Essays. BEA 2024: 439-449 - [c10]Nils-Jonathan Schaller, Andrea Horbach, Lars Ingver Höft, Yuning Ding, Jan Luca Bahr, Jennifer Meyer, Thorben Jansen:
DARIUS: A Comprehensive Learner Corpus for Argument Mining in German-Language Essays. LREC/COLING 2024: 4356-4367 - [c9]Yuning Ding, Omid Kashefi, Swapna Somasundaran, Andrea Horbach:
When Argumentation Meets Cohesion: Enhancing Automatic Feedback in Student Writing. LREC/COLING 2024: 17513-17524 - [c8]Haifei Duan, Shenglan Liu, Chenwei Tan, Yuning Ding, Jirui Tian, Feilong Wang:
Decoupling Spatio-Temporal Network for Fine-Grained Temporal Action Segmentation. ICME 2024: 1-6 - [c7]Yuning Ding
, Sifan Zhang, Shenglan Liu, Jinrong Zhang, Wenyue Chen, Haifei Duan, Bingcheng Dong, Tao Sun:
2M-AF: A Strong Multi-Modality Framework For Human Action Quality Assessment with Self-supervised Representation Learning. ACM Multimedia 2024: 1564-1572 - [i4]Bingcheng Dong, Yuning Ding, Jinrong Zhang, Sifan Zhang, Shenglan Liu:
More Pictures Say More: Visual Intersection Network for Open Set Object Detection. CoRR abs/2408.14032 (2024) - 2023
- [c6]Yuning Ding, Marie Bexte, Andrea Horbach:
Score It All Together: A Multi-Task Learning Study on Automatic Scoring of Argumentative Essays. ACL (Findings) 2023: 13052-13063 - [c5]Yuning Ding, Marie Bexte, Andrea Horbach:
CATALPA_EduNLP at PragTag-2023. ArgMining@EMNLP 2023: 197-201 - [i3]Sheng-lan Liu, Yu-Ning Ding, Jinrong Zhang, Kai-Yuan Liu, Si-Fan Zhang, Feilong Wang, Gao Huang:
Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition. CoRR abs/2306.15321 (2023) - [i2]Shenglan Liu, Yu-Ning Ding, Si-Fan Zhang, Wenyue Chen, Ning Zhou, Hao Liu, Guihong Lao:
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating. CoRR abs/2307.02730 (2023) - 2020
- [c4]Yuning Ding, Brian Riordan, Andrea Horbach, Aoife Cahill, Torsten Zesch:
Don't take "nswvtnvakgxpm" for an answer -The surprising vulnerability of automatic content scoring systems to adversarial input. COLING 2020: 882-892 - [c3]Yuning Ding, Andrea Horbach, Torsten Zesch:
Chinese Content Scoring: Open-Access Datasets and Features on Different Segmentation Levels. AACL/IJCNLP 2020: 347-357 - [i1]Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Gerardo Chowell:
A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration. CoRR abs/2004.03688 (2020)
2010 – 2019
- 2017
- [c2]Andrea Horbach, Yuning Ding, Torsten Zesch:
The Influence of Spelling Errors on Content Scoring Performance. NLP-TEA@IJCNLP 2017: 45-53 - [c1]Andrea Horbach, Dirk Scholten-Akoun, Yuning Ding, Torsten Zesch:
Fine-grained essay scoring of a complex writing task for native speakers. BEA@EMNLP 2017: 357-366
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