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 | 76 | 2021 |
Challenging the Assumption of Structure-based embeddings in Few-and Zero-shot Knowledge Graph Completion F Cornell, C Zhang, Š Girdzijauskas, J Karlgren | 6 | 2022 |
Marketing Mix Modelling: A comparative study of statistical models R Wigren, F Cornell | 5 | 2019 |
Using topological autoencoders as a filtering function for global and local topology F Cornell arXiv preprint arXiv:2012.03383, 2020 | 1 | 2020 |
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 |