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Number of items: 3.

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.
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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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