| How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering Z Jiang, J Araki, H Ding, G Neubig Transactions of the Association for Computational Linguistics (TACL) 2021, 2021 | 352 | 2021 |
| X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models Z Jiang, A Anastasopoulos, J Araki, H Ding, G Neubig Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 129 | 2020 |
| Acquiring Knowledge of Affective Events from Blogs Using Label Propagation H Ding, E Riloff AAAI-16, 2935-2942, 2016 | 43 | 2016 |
| Weakly Supervised Named Entity Tagging with Learnable Logical Rules J Li, H Ding, J Shang, J McAuley, Z Feng ACL 2021, 2021 | 38 | 2021 |
| Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer Z Jiang, L Gao, J Araki, H Ding, Z Wang, J Callan, G Neubig EMNLP 2022, 2022 | 32 | 2022 |
| Weakly Supervised Induction of Affective Events by Optimizing Semantic Consistency H Ding, E Riloff AAAI 2018, 2018 | 27 | 2018 |
| Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition P Chen, H Ding, J Araki, R Huang ACL 2021, 2021 | 24 | 2021 |
| GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition X Zhao, H Ding, Z Feng 16th Conference of the European Chapter of the Association for Computational …, 2021 | 23 | 2021 |
| Why is an Event Affective? Classifying Affective Events based on Human Needs H Ding, T Jiang, E Riloff AAAI Workshop on Affective Content Analysis, 2018 | 23 | 2018 |
| Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data H Ding, E Riloff NAACL 2018, 2018 | 19 | 2018 |
| Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering Z Jiang, J Araki, H Ding, G Neubig COLING 2022, 2022 | 10 | 2022 |
| Extracting Information about Medication Use from Veterinary Discussions H Ding, E Riloff NAACL, 1452-1458, 2015 | 10 | 2015 |
| The NiuTrans Machine Translation System for NTCIR-9 PatentMT T Xiao, Q Li, Q Lu, H Zhang, H Ding, S Yao, X Xu, X Fei, J Zhu, F Ren, ... NTCIR, 2011 | 5 | 2011 |
| Improving Human Needs Categorization of Events with Semantic Classification H Ding, E Riloff, Z Feng Proceedings of the Eighth Joint Conference on Lexical and Computational …, 2019 | 4 | 2019 |
| A Mutil-Stage Clustering Approach to Chinese Person Name Disambiguation H Ding, T Xiao, J Zhu the 6th China National Conference on Information Retrieval (CCIR2010), 316-324, 2010 | 3 | 2010 |
| A multi-stage clustering framework for Chinese personal name disambiguation H Wang, H Ding, Y Shi, J Ma, X Zhou, J Zhu CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010 | 2 | 2010 |
| Learning to Classify Events from Human Needs Category Descriptions H Ding, Z Feng Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | | 2020 |
| A reranking method for syntactic parsing with heterogeneous treebanks H Ding, M Zhu, J Zhu Proceedings of the 6th International Conference on Natural Language …, 2010 | | 2010 |
Ellen RiloffProfessor, Department of Computer Science, University of ArizonaVerified email at cs.arizona.edu
