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07/31/2023
Towards Semantically Enriched Embeddings for Knowledge Graph Completion
Embedding based Knowledge Graph (KG) Completion has gained much attentio...
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12/23/2022
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference
We study the problem of combining neural networks with symbolic reasonin...
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06/10/2022
Refining neural network predictions using background knowledge
Recent work has shown logical background knowledge can be used in learni...
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02/23/2021
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
The unification of statistical (data-driven) and symbolic (knowledge-dri...
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06/04/2020
Analyzing Differentiable Fuzzy Implications
Combining symbolic and neural approaches has gained considerable attenti...
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02/14/2020
Analyzing Differentiable Fuzzy Logic Operators
In recent years there has been a push to integrate symbolic AI and deep ...
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08/13/2019
Semi-Supervised Learning using Differentiable Reasoning
We introduce Differentiable Reasoning (DR), a novel semi-supervised lear...
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08/01/2019
Reinforcement Learning for Personalized Dialogue Management
Language systems have been of great interest to the research community a...
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07/24/2019
The sameAs Problem: A Survey on Identity Management in the Web of Data
In a decentralised knowledge representation system such as the Web of Da...
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06/19/2019
Observing LOD using Equivalent Set Graphs: it is mostly flat and sparsely linked
This paper presents an empirical study aiming at understanding the model...
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06/19/2019
Observing the LOD Cloud using Equivalent Set Graphs: the LOD Cloud is mostly flat and sparsely linked
This paper presents an empirical study aiming at understanding the model...
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06/19/2019
The Linked Open Data cloud is more abstract, flatter and less linked than you may think!
This paper presents an empirical study aiming at understanding the model...
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05/29/2019