15 Publikationen

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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. Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injury. Artificial Intelligence in Medicine. 2023;137: 102491.
    PUB | DOI | WoS | PubMed | Europe PMC
     
  • [14]
    2021 | Bielefelder E-Dissertation | PUB-ID: 2959813 OA
    ter Horst H. Information extraction from text for deep domain knowledge graph population. Extracting pre-clinical outcomes in the domain of spinal cord injury. Bielefeld: Universität Bielefeld; 2021.
    PUB | PDF | DOI
     
  • [13]
    2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2942743
    ter Horst H, Hartung M, Cimiano P, Brazda N, Mueller HW, Klinger R. Learning soft domain constraints in a factor graph model for template-based information extraction. DATA & KNOWLEDGE ENGINEERING. 2020;125: 101764.
    PUB | DOI | WoS
     
  • [12]
    2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2930952 OA
    ter Horst H, Hartung M, Cimiano P. Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields. In: d'Amato C, Theobald M, eds. Reasoning Web. Learning, Uncertainty, Streaming, and Scalability. Lecture Notes in Computer Science. Vol 11078. Springer; 2018: 78-109.
    PUB | PDF
     
  • [11]
    2018 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914075 OA
    Schwitteck A, ter Horst H, Hartung M. What Coreference Chains Tell about Experimental Groups in (Pre-)Clinical Trials. In: Proceedings of DGfS/CL Poster Session. Stuttgart; 2018.
    PUB | PDF
     
  • [10]
    2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2918981 OA
    ter Horst H, Hartung M, Klinger R, Brazda N, Müller HW, Cimiano P. Assessing the Impact of Single and Pairwise Slot Constraints in a Factor Graph Model for Template-based Information Extraction. In: Silberztein M, Atigui F, Kornyshova E, Métais E, Meziane F, eds. Proceedings of the 23rd International Conference on Natural Language & Information Systems (NLDB). Lecture Notes in Computer Science. Vol 10859. Cham: Springer International Publishing; 2018: 179-190.
    PUB | PDF | DOI
     
  • [9]
    2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919923 OA
    Hartung M, ter Horst H, Grimm F, Diekmann T, Klinger R, Cimiano P. 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; 2018.
    PUB | PDF | Download (ext.)
     
  • [8]
    2017 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910336 OA
    ter Horst H, Hartung M, Cimiano P. Joint Entity Recognition and Linking in Technical Domains Using Undirected Probabilistic Graphical Models. In: Gracia J, Bond F, McCrae JP, Buitelaar P, Chiarcos C, Hellmann S, eds. Language, Data, and Knowledge (Proceedings of the 1st International LDK Conference). Lecture Notes in Artificial Intelligence. Vol 10318. Springer; 2017: 166-180.
    PUB | PDF
     
  • [7]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913603 OA
    Brazda N, ter Horst H, Hartung M, et al. 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. CEUR Workshop proceedings. Vol 2050. Aachen: RWTH; 2017.
    PUB | PDF | Download (ext.)
     
  • [6]
    2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913482 OA
    Borowi A, ter Horst H, Hartung M, et al. Ontology-driven Visual Exploration of Preclinical Research Data in the Spinal Cord Injury Domain. In: Proceedings of the SEMANTICS 2017 Poster and Demo Track. CEUR Workshop proceedings. Vol 2044. Aachen: RWTH; 2017.
    PUB | PDF | Download (ext.)
     
  • [5]
    2016 | Datenpublikation | PUB-ID: 2902978 OA
    Hakimov S, ter Horst H, Jebbara S, Hartung M, Cimiano P. Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. Bielefeld University; 2016.
    PUB | Dateien verfügbar | DOI
     
  • [4]
    2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552 OA
    Hakimov S, ter Horst H, Jebbara S, Hartung M, Cimiano P. Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. In: Knowledge Engineering and Knowledge Management. Lecture Notes in Computer Science. Vol 10024. Springer; 2016: 288-302.
    PUB | PDF | DOI
     
  • [3]
    2016 | Diskussionspapier | Veröffentlicht | PUB-ID: 2914039 OA
    ter Horst H, Hartung M, Klinger R, Zwick M, Cimiano P. Predicting Disease-Gene Associations using Cross-Document Graph-based Features. Bielefeld: Bielefeld University; 2016.
    PUB | PDF | arXiv
     
  • [2]
    2016 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2905448
    Brazda N, Estrada V, Kirchhoffer T, et al. 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; 2016.
    PUB
     
  • [1]
    2015 | Bielefelder Masterarbeit | PUB-ID: 2776749 OA
    ter Horst H. Ranking of disease gene associations from large corpora of scientific publications. Bielefeld: Bielefeld University; 2015.
    PUB | PDF
     

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