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Karl Pichotta
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Cited by
Cited by
Year
Learning statistical scripts with LSTM recurrent neural networks
K Pichotta, R Mooney
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
2072016
Statistical script learning with multi-argument events
K Pichotta, R Mooney
Proceedings of the 14th Conference of the European Chapter of the …, 2014
1642014
Using sentence-level LSTM language models for script inference
K Pichotta, RJ Mooney
arXiv preprint arXiv:1604.02993, 2016
1002016
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
872021
Statistical script learning with recurrent neural networks
K Pichotta, R Mooney
Proceedings of the Workshop on Uphill Battles in Language Processing …, 2016
212016
Identifying phrasal verbs using many bilingual corpora
K Pichotta, J DeNero
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
152013
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
122019
Better conditional density estimation for neural networks
W Tansey, K Pichotta, JG Scott
arXiv preprint arXiv:1606.02321, 2016
92016
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
32012
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
22017
Deep nonparametric estimation of discrete conditional distributions via smoothed dyadic partitioning
W Tansey, K Pichotta, JG Scott
arXiv preprint arXiv:1702.07398, 2017
12017
Statistical Script Learning with Recurrent Neural Nets
K Pichotta
12015
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
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Articles 1–17