Follow
Karl Pichotta
Title
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
2232016
Statistical script learning with multi-argument events
K Pichotta, R Mooney
Proceedings of the 14th Conference of the European Chapter of the …, 2014
1722014
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
1192021
Using sentence-level LSTM language models for script inference
K Pichotta, RJ Mooney
arXiv preprint arXiv:1604.02993, 2016
1052016
Statistical script learning with recurrent neural networks
K Pichotta, R Mooney
Proceedings of the Workshop on Uphill Battles in Language Processing …, 2016
232016
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
152019
Identifying phrasal verbs using many bilingual corpora
K Pichotta, J DeNero
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
152013
Automated real-world data integration improves cancer outcome prediction
J Jee, C Fong, K Pichotta, TN Tran, A Luthra, M Waters, C Fu, M Altoe, ...
Nature, 1-9, 2024
112024
Semisupervised training of a brain MRI tumor detection model using mined annotations
NC Swinburne, V Yadav, J Kim, YR Choi, DC Gutman, JT Yang, N Moss, ...
Radiology 303 (1), 80-89, 2022
112022
Better conditional density estimation for neural networks
W Tansey, K Pichotta, JG Scott
arXiv preprint arXiv:1606.02321, 2016
102016
DNA liquid biopsy-based prediction of cancer-associated venous thromboembolism
J Jee, AR Brannon, R Singh, A Derkach, C Fong, A Lee, L Gray, ...
Nature Medicine 30 (9), 2499-2507, 2024
62024
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
Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research
KL Kehl, J Jee, K Pichotta, MA Paul, P Trukhanov, C Fong, M Waters, ...
Nature Communications 15 (1), 9787, 2024
22024
Automated annotation for large-scale clinicogenomic models of lung cancer treatment response and overall survival
J Jee, C Fong, K Pichotta, T Tran, A Luthra, M Altoe, S Maron, R Shen, ...
Cancer Research 83 (7_Supplement), 5721-5721, 2023
22023
Advances in statistical script learning
K Pichotta
22017
Systematic generation of a clinicogenomic harmonized oncologic real-world dataset (MSK-CHORD)
CJ Fong, K Pichotta, T Tran, M Waters, T Fu, M Pirun, M Altoe, ...
Cancer Research 84 (6_Supplement), 3892-3892, 2024
12024
DNA Liquid Biopsies for Cancer-Associated Venous Thromboembolism Prediction
J Jee, AR Brannon, C Fong, A Lee, L Gray, K Pichotta, A Luthra, ...
Blood 142, 569, 2023
12023
AI-assisted clinical data curation to determine genomic biomarkers of cancer metastasis
A Luthra, K Pichotta, B Mastrogiacomo, S McCarthy, S Maron, J Gao, ...
Cancer Research 82 (12_Supplement), 1158-1158, 2022
12022
Leaf-smoothed hierarchical softmax for ordinal prediction
W Tansey, K Pichotta, J Scott
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
12018
The system can't perform the operation now. Try again later.
Articles 1–20