Sentence entailment in compositional distributional semantics M Sadrzadeh, D Kartsaklis, E Balkır Annals of Mathematics and Artificial Intelligence 82, 189-218, 2018 | 38 | 2018 |
Challenges in applying explainability methods to improve the fairness of NLP models E Balkir, S Kiritchenko, I Nejadgholi, KC Fraser arXiv preprint arXiv:2206.03945, 2022 | 36 | 2022 |
Distributional sentence entailment using density matrices E Balkir, M Sadrzadeh, B Coecke Topics in Theoretical Computer Science: The First IFIP WG 1.8 International …, 2016 | 31 | 2016 |
Using density matrices in a compositional distributional model of meaning E Balkır Master's thesis, University of Oxford, 2014 | 29 | 2014 |
Does Moral Code Have a Moral Code? Probing Delphi's Moral Philosophy KC Fraser, S Kiritchenko, E Balkir arXiv preprint arXiv:2205.12771, 2022 | 24 | 2022 |
Necessity and sufficiency for explaining text classifiers: A case study in hate speech detection E Balkir, I Nejadgholi, KC Fraser, S Kiritchenko arXiv preprint arXiv:2205.03302, 2022 | 21 | 2022 |
This prompt is measuring< mask>: evaluating bias evaluation in language models S Goldfarb-Tarrant, E Ungless, E Balkir, SL Blodgett arXiv preprint arXiv:2305.12757, 2023 | 20 | 2023 |
Sentence entailment in compositional distributional semantics E Balkir, D Kartsaklis, M Sadrzadeh arXiv preprint arXiv:1512.04419, 2015 | 19 | 2015 |
Using pairwise occurrence information to improve knowledge graph completion on large-scale datasets E Balkir, M Naslidnyk, D Palfrey, A Mittal arXiv preprint arXiv:1910.11583, 2019 | 6 | 2019 |
Improving knowledge graph embeddings with inferred entity types E Balkır, M Naslidnyk, D Palfrey, A Mittal Proceedings of the 32nd Annual Conference on Neural Information Processing …, 2018 | 2 | 2018 |
Tensors over Semirings for Latent-Variable Weighted Logic Programs E Balkir, D Gildea, S Cohen arXiv preprint arXiv:2006.04232, 2020 | 1 | 2020 |
Tensors and tensor decompositions for combining external information with knowledge graph embeddings E Balkır The University of Edinburgh, 2021 | | 2021 |
Improved knowledge graph embeddings by using inferred entity types E Balkir, M Naslidnyk, D Palfrey, A Mittal, S Durrant | | 2018 |