[ ] Deep Learning for Ontology Reasoning
arxiv.org
Authors: Patrick Hohenecker, Thomas Lukasiewicz. (Submitted on 29 May 2017). Abstract: 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 statistical relational learning that is built upon deep Missing: seoul national
Extracting Relations from Italian Wikipedia Using Self-Training
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von L Siciliani · · Zitiert von: 2 — Patrick Hohenecker, Frank Mtumbuka, Vid Kocijan, and Thomas Lukasiewicz Systematic com- parison of neural architectures and training ap-. › Vol › paper28
[ ] Ontology Reasoning with Deep Neural Networks
arxiv.org
von P Hohenecker · · Zitiert von: 50 — Authors:Patrick Hohenecker, Thomas Lukasiewicz · Download PDF. Abstract: The ability to conduct logical reasoning is a fundamental aspect of intelligent ... › cs
Ontology reasoning with deep neural networks (extended ...
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von P Hohenecker · · Zitiert von: 50 — Authors: · Patrick Hohenecker. Department of Computer Science, University of Oxford, UK and Serein AI, London, UK · Thomas Lukasiewicz. Department of Computer ... › doi
Search results for "Thomas Lukasiewicz" – FacetedDBLP
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1, Patrick Hohenecker, Thomas Lukasiewicz · Deep Learning for Ontology Reasoning. Search on Bibsonomy · CoRR The full citation details , DBLP BibTeX RDF. 1, Gabriele Kern-Isberner, Thomas Lukasiewicz · Many Facets of Reasoning Under Uncertainty, Inconsistency, Vagueness, and Preferences: A Brief ...
Deep Learning for Ontology Reasoning - OpenReview
openreview.net
von P Hohenecker · · Zitiert von: 32 — Patrick Hohenecker, Thomas Lukasiewicz (modified: 16 Sept 2020)CoRR 2017Readers: EveryoneShow BibtexShow Revisions. Abstract: In this work, ... › forum
Alle Infos zum Namen "Patrick Hohenecker"
An Ontology-Based Deep Learning Approach for Triple ...
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Elvira Amador-Domínguez, Emilio Serrano, Daniel Manrique, Patrick Hohenecker, Thomas Lukasiewicz. Knowledge graphs (KGs) are one of the most common ... › ...
BenchIE: Open Information Extraction Evaluation Based on ...
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(2020) Patrick Hohenecker, Frank Mtumbuka, Vid Kocijan, and Thomas Lukasiewicz Systematic Comparison of Neural Architectures and Training Approaches ... › pa...
Artificial Intelligence authors/titles May (125 skipped)
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Authors: Patrick Hohenecker, Thomas Lukasiewicz. Comments: 9 pages. Subjects: Artificial Intelligence (cs.AI); Learning (cs.LG). [130] arXiv: [ pdf, other]. Title: Fine-grained acceleration control for autonomous intersection management using deep reinforcement learning. Authors: Hamid Mirzaei ...
Controlling Text Edition by Changing Answers of X-MOL
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arXiv - CS - Machine Learning Pub Date : , DOI: arxiv Lei Sha, Patrick Hohenecker, Thomas Lukasiewicz. › paper › a...
Lei Sha
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Controlling Text Edition by Changing Answers of Specific Questions Lei Sha, Patrick Hohenecker and Thomas Lukasiewicz In Finding of ACL Conference, ...
Ontology Reasoning with Deep Neural Networks - OUCI
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von P Hohenecker · Zitiert von: 50 — Journal: Journal of Artificial Intelligence Research, Publisher: AI Access Foundation. Authors: Patrick Hohenecker, Thomas Lukasiewicz ... › works
Ontology Reasoning with Deep Neural Networks IJCAI
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Patrick Hohenecker, Thomas Lukasiewicz ... The ability to conduct logical reasoning is a fundamental aspect of intelligent human behavior, and thus an important ... › proceedings
[PDF] Systematic Comparison of Neural Architectures and Training...
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Patrick Hohenecker, Frank Martin Mtumbuka, +1 author Thomas Lukasiewicz · Published in EMNLP 1 November · Computer Science.
Systematic Comparison of Neural Architectures EMNLP2020
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Patrick Hohenecker, Frank Mtumbuka, Vid Kocijan, Thomas Lukasiewicz. Abstract Paper Connected Papers Add to Favorites. Information Extraction Long Paper. › pa...
using machine learning to build a semi-intelligent bot
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It was the case of [14] Patrick Hohenecker and Thomas Lukasiewicz, from Department of Computer Science University of Oxford, introduce a new model for ... › USIN...
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— Patrick Hohenecker, Frank Martin Mtumbuka, Vid Kocijan, Thomas Lukasiewicz , EMNLP. S2 logo Semantic Scholar doi logo ... › ...
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