| Representing meaning with a combination of logical and distributional models I Beltagy, S Roller, P Cheng, K Erk, RJ Mooney Computational Linguistics 42 (4), 763-808, 2016 | 78 | 2016 |
| Attending to Entities for Better Text Understanding P Cheng, K Erk Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7554-7561, 2020 | 42 | 2020 |
| Dataless Knowledge Fusion by Merging Weights of Language Models X Jin, X Ren, D Preotiuc-Pietro, P Cheng arXiv preprint arXiv:2212.09849, 2022 | 41 | 2022 |
| Implicit Argument Prediction with Event Knowledge P Cheng, K Erk arXiv preprint arXiv:1802.07226, 2018 | 38 | 2018 |
| Crowdsourcing Information Extraction for Biomedical Systematic Reviews Y Sun, P Cheng, S Wang, H Lyu, M Lease, I Marshall, BC Wallace arXiv preprint arXiv:1609.01017, 2016 | 25 | 2016 |
| Implicit argument prediction as reading comprehension P Cheng, K Erk Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6284-6291, 2019 | 9 | 2019 |
| Unsupervised Contrast-Consistent Ranking with Language Models N Stoehr, P Cheng, J Wang, D Preotiuc-Pietro, R Bhowmik arXiv preprint arXiv:2309.06991, 2023 | 4 | 2023 |
| Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning GI Winata, L Xie, K Radhakrishnan, S Wu, X Jin, P Cheng, M Kulkarni, ... arXiv preprint arXiv:2305.16252, 2023 | 4 | 2023 |
| The UTexas system for TAC 2019 SM-KBP Task 3: Hypothesis detection with graph convolutional networks. P Cheng, A Tomkovich, E Holgate, S Wang, K Erk TAC, 2019 | 2 | 2019 |
| Learning Better Latent Representations from Semantic Knowledge P Cheng The University of Texas at Austin, 2020 | | 2020 |
| The UTexas system for TAC SM-KBP task 3: Probabilistic generation of coherent hypotheses. P Cheng, E Holgate, K Erk TAC, 2018 | | 2018 |
