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Ager, Thomas
2021.
Disentangling low-dimensional vector space representations of text documents.
PhD Thesis,
Cardiff University.
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Ager, Thomas, Kuzelka, Ondrej and Schockaert, Steven  ORCID: https://orcid.org/0000-0002-9256-2881
2018.
Modelling salient features as directions in fine-tuned semantic spaces.
Presented at: SIGNLL Conference on Computational Natural Language Learning,
Brussels, Belgium,
31 Oct - 1 Nov 2018.
Published in: Korhonen, Anna and Titov, Ivan eds.
Proceedings of the 22nd Conference on Computational Natural Language Learning.
Association for Computational Linguistics,
pp. 530-540.
10.18653/v1/K18-1051
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Ager, Thomas, Kuzelka, Ondrej and Schockaert, Steven ORCID: https://orcid.org/0000-0002-9256-2881
2016.
Inducing symbolic rules from entity embeddings using auto-encoders.
Presented at: Eleventh International Workshop on Neural-Symbolic Learning and Reasoning,
New York; NY, 16-17 July 2016,
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