68 citations · 100 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 2 cited
Controlling Text Edition by Changing Answers of Specific Questions
Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz
In this paper, we introduce the new task of controllable text edition, in which we take as input a long text, a question, and a target answer, and the output is a minimally modifie…
cs.AI2018★ 68 cited
Ontology Reasoning with Deep Neural Networks
Patrick Hohenecker, Thomas Lukasiewicz
The ability to conduct logical reasoning is a fundamental aspect of intelligent human behavior, and thus an important problem along the way to human-level artificial intelligence.…
cs.AI2017★ 30 cited
Deep Learning for Ontology Reasoning
Patrick Hohenecker, Thomas Lukasiewicz
In this work, we present a novel approach to ontology reasoning that is based on deep learning rather than logic-based formal reasoning. To this end, we introduce a new model for s…