Capturing semantic similarity for entity linking with convolutional neural networks M Francis-Landau, G Durrett, D Klein arXiv preprint arXiv:1604.00734, 2016 | 235 | 2016 |
Dyna: Toward a self-optimizing declarative language for machine learning applications T Vieira, M Francis-Landau, NW Filardo, F Khorasani, J Eisner Proceedings of the 1st ACM SIGPLAN International Workshop on Machine …, 2017 | 12 | 2017 |
Evaluation of logic programs with built-ins and aggregation: A calculus for bag relations M Francis-Landau, T Vieira, J Eisner arXiv preprint arXiv:2010.10503, 2020 | 6 | 2020 |
Exact and/or fast nearest neighbors M Francis-Landau, B Van Durme arXiv preprint arXiv:1910.02478, 2019 | 3 | 2019 |
Fine-grained parallelism in probabilistic parsing with Habanero Java M Francis-Landau, B Xue, J Eisner, V Sarkar 2016 6th Workshop on Irregular Applications: Architecture and Algorithms …, 2016 | 2 | 2016 |
Mfst: A python openfst wrapper with support for custom semirings and jupyter notebooks M Francis-Landau arXiv preprint arXiv:2012.03437, 2020 | 1 | 2020 |
Declarative Programming Via Term Rewriting M Francis-Landau Johns Hopkins University, 2024 | | 2024 |
DJ: Distributed JIT M Francis-Landau, J Kubiatowicz | | |