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Filip Cornell
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Nl-augmenter: A framework for task-sensitive natural language augmentation
KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ...
arXiv preprint arXiv:2112.02721, 2021
762021
Challenging the Assumption of Structure-based embeddings in Few-and Zero-shot Knowledge Graph Completion
F Cornell, C Zhang, Š Girdzijauskas, J Karlgren
62022
Marketing Mix Modelling: A comparative study of statistical models
R Wigren, F Cornell
52019
Using topological autoencoders as a filtering function for global and local topology
F Cornell
arXiv preprint arXiv:2012.03383, 2020
12020
Are We Wasting Time? A Fast, Accurate Performance Evaluation Framework for Knowledge Graph Link Predictors
F Cornell, Y Jin, J Karlgren, S Girdzijauskas
arXiv preprint arXiv:2402.00053, 2024
2024
Unsupervised Ontology-and Taxonomy Construction Through Hyperbolic Relational Domains and Ranges
F Cornell, Y Jin, J Karlgren, S Girdzijauskas
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
2023
Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks
F Cornell, J Karlgren, Animesh, Š Girdzijauskas
2022 International Joint Conference on Neural Networks (IJCNN), 01-08, 2022
2022
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