no code implementations • EMNLP 2020 • Patrick Hohenecker, Frank Mtumbuka, Vid Kocijan, Thomas Lukasiewicz
The goal of open information extraction (OIE) is to extract facts from natural language text, and to represent them as structured triples of the form {\textless}subject, predicate, object{\textgreater}.
1 code implementation • Findings (ACL) 2021 • Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz
Experimental results on the test set show that our proposed method is a good fit for this novel NLP task.
2 code implementations • 24 Aug 2018 • Patrick Hohenecker, Thomas Lukasiewicz
This is an important and at the same time very natural logical reasoning task, which is why the presented approach is applicable to a plethora of important real-world problems.
no code implementations • 29 May 2017 • 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.