1. Miltiadis Allamanis , Hao Peng , and Charles Sutton . 2016 . A Convolutional Attention Network for Extreme Summarization of Source Code . In Proceedings of The 33rd International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol. 48) , Maria Florina Balcan and Kilian Q. Weinberger (Eds.). PMLR, New York, New York, USA , 2091–2100. https://proceedings.mlr.press/v48/allamanis16.html Miltiadis Allamanis, Hao Peng, and Charles Sutton. 2016. A Convolutional Attention Network for Extreme Summarization of Source Code. In Proceedings of The 33rd International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol. 48), Maria Florina Balcan and Kilian Q. Weinberger (Eds.). PMLR, New York, New York, USA, 2091–2100. https://proceedings.mlr.press/v48/allamanis16.html
2. Peter C Austin . 2011. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate behavioral research 46, 3 ( 2011 ), 399–424. Peter C Austin. 2011. An introduction to propensity score methods for reducing the effects of confounding in observational studies. Multivariate behavioral research 46, 3 (2011), 399–424.
3. WikiKreator: Improving Wikipedia Stubs Automatically
4. Rank Analysis of Incomplete Block Designs;Bradley Ralph Allan;I. The Method of Paired Comparisons. Biometrika,1952
5. Isabel Cachola , Kyle Lo , Arman Cohan , and Daniel S. Weld . 2020 . TLDR: Extreme Summarization of Scientific Documents. arxiv:2004.15011 [cs.CL] Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel S. Weld. 2020. TLDR: Extreme Summarization of Scientific Documents. arxiv:2004.15011 [cs.CL]