Karl Pichotta
Titel
Zitiert von
Zitiert von
Jahr
Learning statistical scripts with LSTM recurrent neural networks
K Pichotta, R Mooney
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
1392016
Statistical script learning with multi-argument events
K Pichotta, R Mooney
Proceedings of the 14th Conference of the European Chapter of the …, 2014
1112014
Using sentence-level LSTM language models for script inference
K Pichotta, RJ Mooney
arXiv preprint arXiv:1604.02993, 2016
652016
Identifying phrasal verbs using many bilingual corpora
K Pichotta, J DeNero
152013
Statistical script learning with recurrent neural networks
K Pichotta, R Mooney
Proceedings of the Workshop on Uphill Battles in Language Processing …, 2016
142016
Better conditional density estimation for neural networks
W Tansey, K Pichotta, JG Scott
arXiv preprint arXiv:1606.02321, 2016
62016
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
52019
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
42012
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
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
12021
Deep Nonparametric Estimation of Discrete Conditional Distributions via Smoothed Dyadic Partitioning
W Tansey, K Pichotta, JG Scott
arXiv preprint arXiv:1702.07398, 2017
12017
Leaf-Smoothed Hierarchical Softmax for Ordinal Prediction
W Tansey, K Pichotta, JG Scott
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2018
Statistical Script Learning with Recurrent Neural Nets
K Pichotta
2015
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