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20152022
most citedJointly Learning Word Embeddings and Latent Topics

77 citations · 123 across the 16 of their papers we have counts for

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12 papers · 1 filter

cs.AI202218 cited

Artificial virtuous agents in a multiagent tragedy of the commons

Jakob Stenseke

Although virtue ethics has repeatedly been proposed as a suitable framework for the development of artificial moral agents (AMAs), it has been proven difficult to approach from a c…

cs.AI2021

Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis

Steven Schockaert

During the last decade, entity embeddings have become ubiquitous in Artificial Intelligence. Such embeddings essentially serve as compact but semantically meaningful representation…

cs.AI2021

A Description Logic for Analogical Reasoning

Steven Schockaert, Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto

Ontologies formalise how the concepts from a given domain are interrelated. Despite their clear potential as a backbone for explainable AI, existing ontologies tend to be highly in…

cs.AI2020

Plausible Reasoning about EL-Ontologies using Concept Interpolation

Yazmín Ibáñez-García, Víctor Gutiérrez-Basulto, Steven Schockaert

Description logics (DLs) are standard knowledge representation languages for modelling ontologies, i.e. knowledge about concepts and the relations between them. Unfortunately, DL o…

cs.AI20195 cited

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group)

Zied Bouraoui, Antoine Cornuéjols, Thierry Denœux +9

This paper proposes a tentative and original survey of meeting points between Knowledge Representation and Reasoning (KRR) and Machine Learning (ML), two areas which have been deve…

cs.AI2018

Learning Conceptual Space Representations of Interrelated Concepts

Zied Bouraoui, Steven Schockaert

Several recently proposed methods aim to learn conceptual space representations from large text collections. These learned representations asso- ciate each object from a given doma…