Learning statistical scripts with LSTM recurrent neural networks K Pichotta, R Mooney Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 208 | 2016 |
Statistical script learning with multi-argument events K Pichotta, R Mooney Proceedings of the 14th Conference of the European Chapter of the …, 2014 | 163 | 2014 |
Using sentence-level LSTM language models for script inference K Pichotta, RJ Mooney arXiv preprint arXiv:1604.02993, 2016 | 101 | 2016 |
Does BERT pretrained on clinical notes reveal sensitive data? E Lehman, S Jain, K Pichotta, Y Goldberg, BC Wallace arXiv preprint arXiv:2104.07762, 2021 | 91 | 2021 |
Statistical script learning with recurrent neural networks K Pichotta, R Mooney Proceedings of the Workshop on Uphill Battles in Language Processing …, 2016 | 21 | 2016 |
Identifying phrasal verbs using many bilingual corpora K Pichotta, J DeNero Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 15 | 2013 |
Benchmarking hierarchical script knowledge Y Bisk, J Buys, K Pichotta, Y Choi Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 12 | 2019 |
Better conditional density estimation for neural networks W Tansey, K Pichotta, JG Scott arXiv preprint arXiv:1606.02321, 2016 | 9 | 2016 |
Relational theories with null values and non-herbrand stable models V Lifschitz, K Pichotta, F Yang Theory and Practice of Logic Programming 12 (4-5), 565-582, 2012 | 3 | 2012 |
Processing paraphrases and phrasal implicatives in the Bridge questionanswering system K Pichotta Stanford University, Symbolic Systems undergraduate honors thesis, 2008 | 3* | 2008 |
Advances in statistical script learning K Pichotta | 2 | 2017 |
Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning W Tansey, K Pichotta, JG Scott arXiv preprint arXiv:1702.07398, 2017 | 1 | 2017 |
Statistical Script Learning with Recurrent Neural Nets K Pichotta | 1 | 2015 |
A pan-cancer ex vivo drug screen database for next-generation pharmacogenomics and functional precision oncology A Markus, K Pichotta, J Quinn, J White, C Tosh, J Liu, E Coyne, W Tansey Cancer Research 84 (6_Supplement), 3556-3556, 2024 | | 2024 |
Leaf-smoothed hierarchical softmax for ordinal prediction W Tansey, K Pichotta, J Scott Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | | 2018 |
Zero-Shot Prediction of Drug Combination Activity for High-Throughput Screens K Pichotta, W Tansey | | |
Clinical BERT Models Trained on Pseudo Re-identified MIMIC-III Notes E Lehman, S Jain, K Pichotta, Y Goldberg, B Wallace | | |