| A Joint Model for Entity Analysis: Coreference, Typing, and Linking G Durrett, D Klein Transactions of the Association for Computational Linguistics 2, 477-490, 2014 | 310 | 2014 |
| Easy victories and uphill battles in coreference resolution G Durrett, D Klein Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 294 | 2013 |
| News Summarization and Evaluation in the Era of GPT-3 T Goyal, JJ Li, G Durrett arXiv preprint arXiv:2209.12356, 2022 | 242 | 2022 |
| Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks M Francis-Landau, G Durrett, D Klein Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 228 | 2016 |
| Calibration of Pre-trained Transformers S Desai, G Durrett Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 214 | 2020 |
| Spherical Latent Spaces for Stable Variational Autoencoders J Xu, G Durrett Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 197 | 2018 |
| Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints G Durrett, T Berg-Kirkpatrick, D Klein Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 192 | 2016 |
| Neural Extractive Text Summarization with Syntactic Compression J Xu, G Durrett Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 171 | 2019 |
| Neural CRF Parsing G Durrett, D Klein Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 156 | 2015 |
| Supervised Learning of Complete Morphological Paradigms. G Durrett, J DeNero Proceedings of the 2013 Conference of the North American Chapter of the …, 2013 | 151 | 2013 |
| Byte Pair Encoding is Suboptimal for Language Model Pretraining K Bostrom, G Durrett Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 150 | 2020 |
| Annotating and Modeling Fine-grained Factuality in Summarization T Goyal, G Durrett Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 124 | 2021 |
| Lambdanet: Probabilistic type inference using graph neural networks J Wei, M Goyal, G Durrett, I Dillig Proceedings of the International Conference on Learning Representations (ICLR), 2020 | 119 | 2020 |
| The unreliability of explanations in few-shot prompting for textual reasoning X Ye, G Durrett Advances in neural information processing systems 35, 30378-30392, 2022 | 113* | 2022 |
| Evaluating Factuality in Generation with Dependency-level Entailment T Goyal, G Durrett Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 107 | 2020 |
| Tools for Automated Analysis of Cybercriminal Markets RS Portnoff, S Afroz, G Durrett, JK Kummerfeld, T Berg-Kirkpatrick, ... Proceedings of the 26th International Conference on World Wide Web, 657-666, 2017 | 107 | 2017 |
| Understanding Dataset Design Choices for Multi-hop Reasoning J Chen, G Durrett Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 95 | 2019 |
| Fine-grained entity typing for domain independent entity linking Y Onoe, G Durrett Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8576-8583, 2020 | 91 | 2020 |
| Neural Syntactic Preordering for Controlled Paraphrase Generation T Goyal, G Durrett Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 88 | 2020 |
| Multi-hop Question Answering via Reasoning Chains J Chen, S Lin, G Durrett arXiv preprint arXiv:1910.02610, 2019 | 82 | 2019 |
