Patrick Hohenecker : Publications
Journal papers
-
[1]
An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities
Elvira Amador−Domı́nguez‚ Emilio Serrano‚ Daniel Manrique‚ Patrick Hohenecker and Thomas Lukasiewicz
In Information Sciences. Vol. 564. Pages 85–102. July, 2021.
Details about An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities | BibTeX data for An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities | Link to An Ontology−Based Deep Learning Approach for Triple Classification with Out−of−Knowledge−Base Entities
-
[2]
Ontology Reasoning with Deep Neural Networks
Patrick Hohenecker and Thomas Lukasiewicz
In Journal of Artificial Intelligence Research (JAIR). Vol. 68. Pages 503–540. July, 2020.
Details about Ontology Reasoning with Deep Neural Networks | BibTeX data for Ontology Reasoning with Deep Neural Networks | Link to Ontology Reasoning with Deep Neural Networks
Conference papers
-
[1]
Controlling Text Edition by Changing Answers of Specific Questions
Lei Sha‚ Patrick Hohenecker and Thomas Lukasiewicz
In Findings of ACL. 2021.
Details about Controlling Text Edition by Changing Answers of Specific Questions | BibTeX data for Controlling Text Edition by Changing Answers of Specific Questions | Link to Controlling Text Edition by Changing Answers of Specific Questions
-
[2]
Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction
Patrick Hohenecker‚ Frank Mtumbuka‚ Vid Kocijan and Thomas Lukasiewicz
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2020‚ November 16–20‚ 2020. Pages 8554–8565. Association for Computational Linguistics. November, 2020.
Details about Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction | BibTeX data for Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction | Link to Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction
-
[3]
Ontology Reasoning with Deep Neural Networks (Extended Abstract)
Patrick Hohenecker and Thomas Lukasiewicz
In Proceedings of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence‚ IJCAI−PRICAI 2020‚ Yokohama‚ Japan‚ July 11−17‚ 2020. IJCAI/AAAI Press. July, 2020.
Details about Ontology Reasoning with Deep Neural Networks (Extended Abstract) | BibTeX data for Ontology Reasoning with Deep Neural Networks (Extended Abstract) | Link to Ontology Reasoning with Deep Neural Networks (Extended Abstract)
-
[4]
An Ontology−Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities
Elvira Amador−Domı́nguez‚ Patrick Hohenecker‚ Thomas Lukasiewicz‚ Daniel Manrique and Emilio Serrano
In Francisco Herrera‚ Kenji Matsui and Sara Rodríguez Gonzalez, editors, Proceedings of the 16th International Conference on Distributed Computing and Artificial Intelligence (DCAI 2019)‚ Avila‚ Spain‚ June 26−28‚ 2019. Springer. June, 2019.
Details about An Ontology−Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities | BibTeX data for An Ontology−Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities | Link to An Ontology−Based Deep Learning Approach for Knowledge Graph Completion with Fresh Entities
Technical reports
-
[1]
Ontology Reasoning with Deep Neural Networks
Patrick Hohenecker and Thomas Lukasiewicz
2018.
Details about Ontology Reasoning with Deep Neural Networks | BibTeX data for Ontology Reasoning with Deep Neural Networks | Link to Ontology Reasoning with Deep Neural Networks
-
[2]
Deep Learning for Ontology Reasoning
Patrick Hohenecker and Thomas Lukasiewicz
2017.
Details about Deep Learning for Ontology Reasoning | BibTeX data for Deep Learning for Ontology Reasoning | Link to Deep Learning for Ontology Reasoning