Michael Boratko
Michael Boratko
UMass Amherst
Verifierad e-postadress på cs.umass.edu
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Smoothing the geometry of probabilistic box embeddings
X Li, L Vilnis, D Zhang, M Boratko, A McCallum
International Conference on Learning Representations, 2018
262018
A systematic classification of knowledge, reasoning, and context within the ARC dataset
M Boratko, H Padigela, D Mikkilineni, P Yuvraj, R Das, A McCallum, ...
arXiv preprint arXiv:1806.00358, 2018
242018
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning
M Boratko, XL Li, R Das, T O'Gorman, D Le, A McCallum
arXiv preprint arXiv:2005.00771, 2020
32020
An interface for annotating science questions
M Boratko, H Padigela, D Mikkilineni, P Yuvraj, R Das, A McCallum, ...
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
32018
Improving Local Identifiability in Probabilistic Box Embeddings
SS Dasgupta, M Boratko, D Zhang, L Vilnis, XL Li, A McCallum
arXiv preprint arXiv:2010.04831, 2020
22020
Representing joint hierarchies with box embeddings
D Patel, S Sankar
Automated Knowledge Base Construction, 2020
12020
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
X Chen, M Boratko, M Chen, SS Dasgupta, XL Li, A McCallum
arXiv preprint arXiv:2104.04597, 2021
2021
Modeling Fine-Grained Entity Types with Box Embeddings
Y Onoe, M Boratko, G Durrett
arXiv preprint arXiv:2101.00345, 2021
2021
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Artiklar 1–8