| Neural models of text normalization for speech applications H Zhang, R Sproat, AH Ng, F Stahlberg, X Peng, K Gorman, B Roark Computational Linguistics 45 (2), 293-337, 2019 | 118 | 2019 |
| A synchronous hyperedge replacement grammar based approach for AMR parsing X Peng, L Song, D Gildea Proceedings of the nineteenth conference on computational natural language …, 2015 | 110 | 2015 |
| Exploring deep multimodal fusion of text and photo for hate speech classification F Yang, X Peng, G Ghosh, R Shilon, H Ma, E Moore, G Predovic Proceedings of the third workshop on abusive language online, 11-18, 2019 | 95 | 2019 |
| Addressing the data sparsity issue in neural AMR parsing X Peng, C Wang, D Gildea, N Xue arXiv preprint arXiv:1702.05053, 2017 | 91 | 2017 |
| AMR-to-text generation with synchronous node replacement grammar L Song, X Peng, Y Zhang, Z Wang, D Gildea arXiv preprint arXiv:1702.00500, 2017 | 74 | 2017 |
| AMR-to-text generation as a Traveling Salesman Problem L Song, Y Zhang, X Peng, Z Wang, D Gildea arXiv preprint arXiv:1609.07451, 2016 | 55 | 2016 |
| Unirex: A unified learning framework for language model rationale extraction A Chan, M Sanjabi, L Mathias, L Tan, S Nie, X Peng, X Ren, H Firooz International Conference on Machine Learning, 2867-2889, 2022 | 43 | 2022 |
| Sequence-to-sequence models for cache transition systems X Peng, L Song, D Gildea, G Satta Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 26 | 2018 |
| AMR parsing with cache transition systems X Peng, D Gildea, G Satta Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 26 | 2018 |
| Cache transition systems for graph parsing D Gildea, G Satta, X Peng Computational Linguistics 44 (1), 85-118, 2018 | 18 | 2018 |
| UofR at SemEval-2016 task 8: Learning synchronous hyperedge replacement grammar for AMR parsing X Peng, D Gildea Proceedings of the 10th international workshop on semantic evaluation …, 2016 | 16 | 2016 |
| Frame: Evaluating simulatability metrics for free-text rationales A Chan, S Nie, L Tan, X Peng, H Firooz, M Sanjabi, X Ren arXiv preprint arXiv:2207.00779, 2022 | 10 | 2022 |
| Frame: Evaluating rationale-label consistency metrics for free-text rationales A Chan, S Nie, L Tan, X Peng, H Firooz, M Sanjabi, X Ren arXiv preprint arXiv:2207.00779, 2022 | 7 | 2022 |
| Capturing long-distance dependencies in sequence models: A case study of chinese part-of-speech tagging W Sun, X Peng, X Wan Proceedings of the Sixth International Joint Conference on Natural Language …, 2013 | 7 | 2013 |
| Type-based MCMC for sampling tree fragments from forests X Peng, D Gildea Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 5 | 2014 |
| Exploring phrase-compositionality in skip-gram models X Peng, D Gildea arXiv preprint arXiv:1607.06208, 2016 | 4 | 2016 |
| Ordered tree decomposition for hrg rule extraction D Gildea, G Satta, X Peng Computational Linguistics 45 (2), 339-379, 2019 | 2 | 2019 |
| Mapping natural language sentences to semantic graphs X Peng University of Rochester, 2018 | | 2018 |
Daniel GildeaProfessor of Computer Science, University of RochesterVerifierad e-postadress på cs.rochester.edu
