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Steven Schockaert
Researcher at Cardiff University
Publications - 286
Citations - 3479
Steven Schockaert is an academic researcher from Cardiff University. The author has contributed to research in topics: Answer set programming & Fuzzy logic. The author has an hindex of 27, co-authored 271 publications receiving 3010 citations. Previous affiliations of Steven Schockaert include University of Granada & Ghent University.
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Journal ArticleDOI
Inducing Relational Knowledge from BERT
TL;DR: This paper propose a methodology for distilling relational knowledge from a pre-trained language model, starting from a few seed instances of a given relation, they first use a large text corpus to find sentences that are likely to express this relation, then use a subset of these extracted sentences as templates.
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Spatial reasoning in a fuzzy region connection calculus
TL;DR: A generalization of the region connection calculus based on fuzzy set theory is presented, and it is revealed that reasoning in this fuzzy RCC is NP-complete, thus preserving the computational complexity of reasoning in the RCC.
Proceedings ArticleDOI
Finding locations of flickr resources using language models and similarity search
TL;DR: A two-step approach to estimate where a given photo or video was taken, using only the tags that a user has assigned to it, to improve substantially over either language models or similarity search alone.
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Lifted Relational Neural Networks: Efficient Learning of Latent Relational Structures
TL;DR: A lifted framework in which first-order rules are used to describe the structure of a given problem setting, which allows for a declarative specification of latent relational structures, which can then be efficiently discovered in a given data set using neural network learning.
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Fuzzifying Allen's Temporal Interval Relations
TL;DR: This paper proposes a framework to represent, compute, and reason about temporal relationships between imprecise events, based on fuzzy orderings of time points, and shows how this model can be used for efficient fuzzy temporal reasoning by means of a transitivity table.