| Cross-sentence N-ary Relation Extraction with Graph LSTMs N Peng, H Poon, C Quirk, K Toutanova, W Yih Transactions of the Association of Computational Linguistics, 2017 | 533 | 2017 |
| Style Transfer in Text: Exploration and Evaluation Z Fu, X Tan, N Peng, D Zhao, R Yan Proceedings of The Thirty-Second Association for the Advancement of …, 2018 | 510 | 2018 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 454 | 2022 |
| The Woman Worked as a Babysitter: On Biases in Language Generation E Sheng, KW Chang, P Natarajan, N Peng 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019 | 396 | 2019 |
| Named entity recognition for chinese social media with jointly trained embeddings N Peng, M Dredze Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 377 | 2015 |
| Plan-And-Write: Towards Better Automatic Storytelling L Yao, N Peng, W Ralph, K Knight, D Zhao, R Yan The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2019 | 344 | 2019 |
| Improving named entity recognition for chinese social media with word segmentation representation learning N Peng, M Dredze Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 239 | 2016 |
| An Empirical Study of Training End-to-End Vision-and-Language Transformers ZY Dou, Y Xu, Z Gan, J Wang, S Wang, L Wang, C Zhu, P Zhang, L Yuan, ... The Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 235 | 2022 |
| Stack-pointer networks for dependency parsing X Ma, Z Hu, J Liu, N Peng, G Neubig, E Hovy The 56th Annual Meeting of the Association for Computational Linguistics …, 2018 | 200 | 2018 |
| Towards controllable story generation N Peng, M Ghazvininejad, J May, K Knight NAACL Workshop, 2018 | 154 | 2018 |
| On difficulties of cross-lingual transfer with order differences: A case study on dependency parsing WU Ahmad, Z Zhang, X Ma, E Hovy, KW Chang, N Peng Annual Conference of the North American Chapter of the Association for …, 2019 | 140 | 2019 |
| Multi-task multi-domain representation learning for sequence tagging N Peng, M Dredze Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017 | 137* | 2017 |
| Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction R Han, Q Ning, N Peng 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019 | 115 | 2019 |
| Societal Biases in Language Generation: Progress and Challenges E Sheng, KW Chang, P Natarajan, N Peng The 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021 | 110 | 2021 |
| Towards Controllable Biases in Language Generation E Sheng, KW Chang, P Natarajan, N Peng Findings of The 2020 Conference on Empirical Methods in Natural Language …, 2020 | 109 | 2020 |
| DEGREE: A Data-Efficient Generative Event Extraction Model I Hsu, KH Huang, E Boschee, S Miller, P Natarajan, KW Chang, N Peng The 2022 Annual Conference of the North American Chapter of the Association …, 2022 | 101* | 2022 |
| Content Planning for Neural Story Generation with Aristotelian Rescoring S Goldfarb-Tarrant, T Chakrabarty, R Weischedel, N Peng The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 100 | 2020 |
| STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generation N Akoury, S Wang, J Whiting, S Hood, N Peng, M Iyyer Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 91 | 2020 |
| Better Automatic Evaluation of Open-Domain Dialogue Systems with Contextualized Embeddings S Ghazarian, JTZ Wei, A Galstyan, N Peng 2019 Annual Conference of the North American Chapter of the Association for …, 2019 | 78 | 2019 |
| TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions Q Ning, H Wu, R Han, N Peng, M Gardner, D Roth The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 75 | 2020 |
Mark DredzeJohns Hopkins UniversityVerified email at cs.jhu.edu
