Can you unpack that? learning to rewrite questions-in-context A Elgohary, D Peskov, J Boyd-Graber Can You Unpack That? Learning to Rewrite Questions-in-Context, 2019 | 209 | 2019 |
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence A Hoyle, P Goel, A Hian-Cheong, D Peskov, J Boyd-Graber, P Resnik Advances in Neural Information Processing Systems 34, 2021 | 102 | 2021 |
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data D Peskov, N Clarke, J Krone, B Fodor, Y Zhang, A Youssef, M Diab Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 53 | 2019 |
It Takes Two to Lie: One to Lie, and One to Listen D Peskov, B Cheng, A Elgohary, J Barrow, C Danescu-Niculescu-Mizil, ... | 37 | 2020 |
Mitigating noisy inputs for question answering D Peskov, J Barrow, P Rodriguez, G Neubig, J Boyd-Graber arXiv preprint arXiv:1908.02914, 2019 | 13 | 2019 |
Credible without Credit: Domain Experts Assess Generative Language Models D Peskoff, BM Stewart Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 12 | 2023 |
ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation D Stojanovski, B Krojer, D Peskov, A Fraser Proceedings of the 28th International Conference on Computational …, 2020 | 12 | 2020 |
Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts E Redmiles, L Maszkiewicz, E Hwang, D Kuchhal, E Liu, M Morales, ... Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 12 | 2019 |
UMDeep at SemEval-2017 Task 1: End-to-end shared weight LSTM model for semantic textual similarity J Barrow, D Peskov Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 8 | 2017 |
Adapting Entities across Languages and Cultures D Peskov, V Hangya, J Boyd-Graber, A Fraser Findings of the Association for Computational Linguistics: EMNLP 2021, 3725-3750, 2021 | 7 | 2021 |
Measuring the Rapid Growth of HSTS and HPKP Deployments I Petrov, D Peskov, G Coard, T Chung, D Choffnes, D Levin, BM Maggs, ... | 2 | |
GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves D Peskoff, A Visokay, S Schulhoff, B Wachspress, A Blinder, BM Stewart Findings of the Association for Computational Linguistics: EMNLP 2023, 6529-6539, 2023 | | 2023 |