Multi-input attention for unsupervised OCR correction R Dong, DA Smith Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 50 | 2018 |
Weakly-guided user stance prediction via joint modeling of content and social interaction R Dong, Y Sun, L Wang, Y Gu, Y Zhong Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 31 | 2017 |
Entailment tree explanations via iterative retrieval-generation reasoner D Ribeiro, S Wang, X Ma, R Dong, X Wei, H Zhu, X Chen, Z Huang, P Xu, ... arXiv preprint arXiv:2205.09224, 2022 | 30 | 2022 |
STREET: A multi-task structured reasoning and explanation benchmark D Ribeiro, S Wang, X Ma, H Zhu, R Dong, D Kong, J Burger, A Ramos, ... arXiv preprint arXiv:2302.06729, 2023 | 14 | 2023 |
OCR-D kompakt: Ergebnisse und Stand der Forschung in der Förderinitiative E Engl Bibliothek Forschung und Praxis 44 (2), 218-230, 2020 | 14 | 2020 |
Structural encoding and pre-training matter: Adapting BERT for table-based fact verification R Dong, DA Smith Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 12 | 2021 |
Okralact-a multi-engine open source OCR training system K Baierer, R Dong, C Neudecker Proceedings of the 5th International Workshop on Historical Document Imaging …, 2019 | 5 | 2019 |
Noisy neural language modeling for typing prediction in BCI communication R Dong, DA Smith, S Dudy, S Bedrick Proceedings of the Eighth Workshop on Speech and Language Processing for …, 2019 | 4 | 2019 |
Improving cross-task generalization of unified table-to-text models with compositional task configurations J Chen, Y Zhang, L Liu, R Dong, X Chen, P Ng, WY Wang, Z Huang arXiv preprint arXiv:2212.08780, 2022 | 2 | 2022 |
A probabilistic approach to latent cluster analysis Z Xie, R Dong, Z Deng, Z He, W Yang Twenty-third International Joint Conference on Artificial Intelligence, 2013 | 2 | 2013 |
Natural Language Processing on Noisy Text R Dong Northeastern University, 2021 | | 2021 |