1 citations · 1 across the 5 of their papers we have counts for
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BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization
Bruno F. Lourenço, Hesham Morgan, Ana Ozaki +2
Knowledge base (KB) embeddings aim at combining the capability of classical knowledge graph embeddings to generalize the information present in facts, the ABox, with conceptual kno…
Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Case Study on BERT-based Language Models
Ana Ozaki, Roberto Confalonieri, Ricardo Guimarães +1
Decision trees are a popular machine learning method, known for their inherent explainability. In Explainable AI, decision trees can be used as surrogate models for complex black b…
Knowledge Base Embeddings: Semantics and Theoretical Properties
Camille Bourgaux, Ricardo Guimarães, Raoul Koudijs +2
Research on knowledge graph embeddings has recently evolved into knowledge base embeddings, where the goal is not only to map facts into vector spaces but also constrain the models…