PUB - Publikationen an der Universität Bielefeld

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• [15]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2969356

  ter Horst, H.; Brazda, N.; Schira-Heinen, J.; Krebbers, J.; Müller, H. - W.; Cimiano, P. (2023): Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injury Artificial Intelligence in Medicine,137:102491

  PUB | DOI | WoS | PubMed | Europe PMC
   
• [14]
  

  2021 | Bielefelder E-Dissertation | PUB-ID: 2959813

  ter Horst, H. (2021): Information extraction from text for deep domain knowledge graph population. Extracting pre-clinical outcomes in the domain of spinal cord injury. Bielefeld: Universität Bielefeld.

  PUB | PDF | DOI
   
• [13]
  

  2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2942743

  ter Horst, H.; Hartung, M.; Cimiano, P.; Brazda, N.; Mueller, H. W.; Klinger, R. (2020): Learning soft domain constraints in a factor graph model for template-based information extraction DATA & KNOWLEDGE ENGINEERING,125:101764

  PUB | DOI | WoS
   
• [12]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2930952

  ter Horst, H.; Hartung, M.; Cimiano, P. (2018): Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields. In: Claudia d'Amato; Martin Theobald (Hrsg.): Reasoning Web. Learning, Uncertainty, Streaming, and Scalability.. Springer. (Lecture Notes in Computer Science, 11078). S. 78-109.

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• [11]
  

  2018 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914075

  Schwitteck, A.; ter Horst, H.; Hartung, M. (2018): What Coreference Chains Tell about Experimental Groups in (Pre-)Clinical Trials. In: Proceedings of DGfS/CL Poster Session. Stuttgart.

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• [10]
  

  2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2918981

  ter Horst, H.; Hartung, M.; Klinger, R.; Brazda, N.; Müller, H. W.; Cimiano, P. (2018): Assessing the Impact of Single and Pairwise Slot Constraints in a Factor Graph Model for Template-based Information Extraction. In: Max Silberztein; Faten Atigui; Elena Kornyshova; Elisabeth Métais; Farid Meziane (Hrsg.): Proceedings of the 23rd International Conference on Natural Language & Information Systems (NLDB). Cham: Springer International Publishing. (Lecture Notes in Computer Science, 10859). S. 179-190.

  PUB | PDF | DOI
   
• [9]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919923

  Hartung, M.; ter Horst, H.; Grimm, F.; Diekmann, T.; Klinger, R.; Cimiano, P. (2018): SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling. In: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (System Demonstrations). Association for Computational Linguistics.

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• [8]
  

  2017 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910336

  ter Horst, H.; Hartung, M.; Cimiano, P. (2017): Joint Entity Recognition and Linking in Technical Domains Using Undirected Probabilistic Graphical Models. In: Jorge Gracia; Francis Bond; John P. McCrae; Paul Buitelaar; Christian Chiarcos; Sebastian Hellmann (Hrsg.): Language, Data, and Knowledge (Proceedings of the 1st International LDK Conference). Springer. (Lecture Notes in Artificial Intelligence, 10318). S. 166-180.

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• [7]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913603

  Brazda, N.; ter Horst, H.; Hartung, M.; Wiljes, C.; Estrada, V.; Klinger, R.; Kuchinke, W.; Müller, H. W.; Cimiano, P. (2017): SCIO: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments. In: Proceedings of the 3rd Joint Ontology Workshops (JOWO): Ontologies and Data in the Life Sciences. Aachen: RWTH. (CEUR Workshop proceedings, 2050).

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• [6]
  

  2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913482

  Borowi, A.; ter Horst, H.; Hartung, M.; Estrada, V.; Brazda, N.; Müller, H. W.; Cimiano, P. (2017): Ontology-driven Visual Exploration of Preclinical Research Data in the Spinal Cord Injury Domain. In: Proceedings of the SEMANTICS 2017 Poster and Demo Track. Aachen: RWTH. (CEUR Workshop proceedings, 2044).

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• [5]
  

  2016 | Datenpublikation | PUB-ID: 2902978

  Hakimov, S.; ter Horst, H.; Jebbara, S.; Hartung, M.; Cimiano, P. (2016): Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. Bielefeld University.

  PUB | Dateien verfügbar | DOI
   
• [4]
  

  2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552

  Hakimov, S.; ter Horst, H.; Jebbara, S.; Hartung, M.; Cimiano, P. (2016): Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. In: Knowledge Engineering and Knowledge Management. Springer. (Lecture Notes in Computer Science, 10024). S. 288-302.

  PUB | PDF | DOI
   
• [3]
  

  2016 | Diskussionspapier | Veröffentlicht | PUB-ID: 2914039

  ter Horst, H.; Hartung, M.; Klinger, R.; Zwick, M.; Cimiano, P. (2016): Predicting Disease-Gene Associations using Cross-Document Graph-based Features. Bielefeld: Bielefeld University.

  PUB | PDF | arXiv
   
• [2]
  

  2016 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2905448

  Brazda, N.; Estrada, V.; Kirchhoffer, T.; ter Horst, H.; Hartung, M.; Wiljes, C.; Klinger, R.; Cimiano, P.; Müller, H. W. (2016): SCIO: The Spinal Cord Injury Ontology, a Prerequisite for Automated Data Extraction from Publications on Research in Spinal Cord Injury. In: Proceedings of the 18th Spinal Research Network Meeting (ISRT 2016). London.

  PUB
   
• [1]
  

  2015 | Bielefelder Masterarbeit | PUB-ID: 2776749

  ter Horst, H. (2015): Ranking of disease gene associations from large corpora of scientific publications. Bielefeld: Bielefeld University.

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