Hendrik ter Horst

Orcid: 0000-0003-3244-6595

According to our database1, Hendrik ter Horst authored at least 13 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injury.
Artif. Intell. Medicine, March, 2023

2021
Information extraction from text for deep domain knowledge graph population. Extracting pre-clinical outcomes in the domain of spinal cord injury
PhD thesis, 2021

2020
Learning soft domain constraints in a factor graph model for template-based information extraction.
Data Knowl. Eng., 2020

Incorporating Semantic Dependencies Extracted from Knowledge Graphs into Joint Inference Template-Based Information Extraction.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension.
Proceedings of the Fourth Workshop on Structured Prediction for NLP@EMNLP 2020, 2020

2018
Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields.
Proceedings of the Reasoning Web. Learning, Uncertainty, Streaming, and Scalability, 2018

Assessing the Impact of Single and Pairwise Slot Constraints in a Factor Graph Model for Template-Based Information Extraction.
Proceedings of the Natural Language Processing and Information Systems, 2018

SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

2017
Predicting Disease-Gene Associations using Cross-Document Graph-based Features.
CoRR, 2017

Joint Entity Recognition and Linking in Technical Domains Using Undirected Probabilistic Graphical Models.
Proceedings of the Language, Data, and Knowledge - First International Conference, 2017

SCIO: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments.
Proceedings of the Joint Ontology Workshops 2017 Episode 3: The Tyrolean Autumn of Ontology, 2017

Ontology-driven Visual Exploration of Preclinical Research Data in the Spinal Cord Injury Domain.
Proceedings of the Posters and Demos Track of the 13th International Conference on Semantic Systems, 2017

2016
Combining Textual and Graph-Based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models.
Proceedings of the Knowledge Engineering and Knowledge Management, 2016


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