13 Publikationen

Alle markieren

[13]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2942743
Learning soft domain constraints in a factor graph model for template-based information extraction
ter Horst, Hendrik, Learning soft domain constraints in a factor graph model for template-based information extraction. DATA & KNOWLEDGE ENGINEERING 125 (). , 2020
PUB | DOI | WoS
 
[12]
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2930952 OA
Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields
ter Horst, Hendrik, Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields. Reasoning Web. Learning, Uncertainty, Streaming, and Scalability. 11078 (). , 2018
PUB | PDF
 
[11]
2018 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914075 OA
What Coreference Chains Tell about Experimental Groups in (Pre-)Clinical Trials
Schwitteck, Annika, What Coreference Chains Tell about Experimental Groups in (Pre-)Clinical Trials. Proceedings of DGfS/CL Poster Session (). Stuttgart, 2018
PUB | PDF
 
[10]
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2918981 OA
Assessing the Impact of Single and Pairwise Slot Constraints in a Factor Graph Model for Template-based Information Extraction
ter Horst, Hendrik, Assessing the Impact of Single and Pairwise Slot Constraints in a Factor Graph Model for Template-based Information Extraction. Proceedings of the 23rd International Conference on Natural Language & Information Systems (NLDB) 10859 (). Cham, 2018
PUB | PDF | DOI
 
[9]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919923 OA
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling
Hartung, Matthias, SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (System Demonstrations) (). , 2018
PUB | PDF | Download (ext.)
 
[8]
2017 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910336 OA
Joint Entity Recognition and Linking in Technical Domains Using Undirected Probabilistic Graphical Models
ter Horst, Hendrik, Joint Entity Recognition and Linking in Technical Domains Using Undirected Probabilistic Graphical Models. Language, Data, and Knowledge (Proceedings of the 1st International LDK Conference) 10318 (). , 2017
PUB | PDF
 
[7]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913482 OA
Ontology-driven Visual Exploration of Preclinical Research Data in the Spinal Cord Injury Domain
Borowi, Alexander, Ontology-driven Visual Exploration of Preclinical Research Data in the Spinal Cord Injury Domain. Proceedings of the SEMANTICS 2017 Poster and Demo Track 2044 (). Aachen, 2017
PUB | PDF | Download (ext.)
 
[6]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913603 OA
SCIO: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments
Brazda, Nicole, SCIO: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments. Proceedings of the 3rd Joint Ontology Workshops (JOWO): Ontologies and Data in the Life Sciences 2050 (). Aachen, 2017
PUB | PDF | Download (ext.)
 
[5]
2016 | Datenpublikation | PUB-ID: 2902978 OA
Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models
Hakimov, Sherzod, Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. (). , 2016
PUB | Dateien verfügbar | DOI
 
[4]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552 OA
Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models
Hakimov, Sherzod, Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. Knowledge Engineering and Knowledge Management 10024 (). , 2016
PUB | PDF | DOI
 
[3]
2016 | Diskussionspapier | Veröffentlicht | PUB-ID: 2914039 OA
Predicting Disease-Gene Associations using Cross-Document Graph-based Features
ter Horst, Hendrik, Predicting Disease-Gene Associations using Cross-Document Graph-based Features. (). Bielefeld, 2016
PUB | PDF | arXiv
 
[2]
2016 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2905448
SCIO: The Spinal Cord Injury Ontology, a Prerequisite for Automated Data Extraction from Publications on Research in Spinal Cord Injury
Brazda, Nicole, SCIO: The Spinal Cord Injury Ontology, a Prerequisite for Automated Data Extraction from Publications on Research in Spinal Cord Injury. Proceedings of the 18th Spinal Research Network Meeting (ISRT 2016) (). London, 2016
PUB
 
[1]
2015 | Bielefelder Masterarbeit | PUB-ID: 2776749 OA
Ranking of disease gene associations from large corpora of scientific publications
ter Horst, Hendrik, Ranking of disease gene associations from large corpora of scientific publications. (). Bielefeld, 2015
PUB | PDF
 

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13 Publikationen

Alle markieren

[13]
2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2942743
Learning soft domain constraints in a factor graph model for template-based information extraction
ter Horst, Hendrik, Learning soft domain constraints in a factor graph model for template-based information extraction. DATA & KNOWLEDGE ENGINEERING 125 (). , 2020
PUB | DOI | WoS
 
[12]
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2930952 OA
Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields
ter Horst, Hendrik, Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields. Reasoning Web. Learning, Uncertainty, Streaming, and Scalability. 11078 (). , 2018
PUB | PDF
 
[11]
2018 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2914075 OA
What Coreference Chains Tell about Experimental Groups in (Pre-)Clinical Trials
Schwitteck, Annika, What Coreference Chains Tell about Experimental Groups in (Pre-)Clinical Trials. Proceedings of DGfS/CL Poster Session (). Stuttgart, 2018
PUB | PDF
 
[10]
2018 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2918981 OA
Assessing the Impact of Single and Pairwise Slot Constraints in a Factor Graph Model for Template-based Information Extraction
ter Horst, Hendrik, Assessing the Impact of Single and Pairwise Slot Constraints in a Factor Graph Model for Template-based Information Extraction. Proceedings of the 23rd International Conference on Natural Language & Information Systems (NLDB) 10859 (). Cham, 2018
PUB | PDF | DOI
 
[9]
2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2919923 OA
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling
Hartung, Matthias, SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (System Demonstrations) (). , 2018
PUB | PDF | Download (ext.)
 
[8]
2017 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2910336 OA
Joint Entity Recognition and Linking in Technical Domains Using Undirected Probabilistic Graphical Models
ter Horst, Hendrik, Joint Entity Recognition and Linking in Technical Domains Using Undirected Probabilistic Graphical Models. Language, Data, and Knowledge (Proceedings of the 1st International LDK Conference) 10318 (). , 2017
PUB | PDF
 
[7]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913482 OA
Ontology-driven Visual Exploration of Preclinical Research Data in the Spinal Cord Injury Domain
Borowi, Alexander, Ontology-driven Visual Exploration of Preclinical Research Data in the Spinal Cord Injury Domain. Proceedings of the SEMANTICS 2017 Poster and Demo Track 2044 (). Aachen, 2017
PUB | PDF | Download (ext.)
 
[6]
2017 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2913603 OA
SCIO: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments
Brazda, Nicole, SCIO: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments. Proceedings of the 3rd Joint Ontology Workshops (JOWO): Ontologies and Data in the Life Sciences 2050 (). Aachen, 2017
PUB | PDF | Download (ext.)
 
[5]
2016 | Datenpublikation | PUB-ID: 2902978 OA
Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models
Hakimov, Sherzod, Research Data - Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. (). , 2016
PUB | Dateien verfügbar | DOI
 
[4]
2016 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2905552 OA
Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models
Hakimov, Sherzod, Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. Knowledge Engineering and Knowledge Management 10024 (). , 2016
PUB | PDF | DOI
 
[3]
2016 | Diskussionspapier | Veröffentlicht | PUB-ID: 2914039 OA
Predicting Disease-Gene Associations using Cross-Document Graph-based Features
ter Horst, Hendrik, Predicting Disease-Gene Associations using Cross-Document Graph-based Features. (). Bielefeld, 2016
PUB | PDF | arXiv
 
[2]
2016 | Kurzbeitrag Konferenz / Poster | Veröffentlicht | PUB-ID: 2905448
SCIO: The Spinal Cord Injury Ontology, a Prerequisite for Automated Data Extraction from Publications on Research in Spinal Cord Injury
Brazda, Nicole, SCIO: The Spinal Cord Injury Ontology, a Prerequisite for Automated Data Extraction from Publications on Research in Spinal Cord Injury. Proceedings of the 18th Spinal Research Network Meeting (ISRT 2016) (). London, 2016
PUB
 
[1]
2015 | Bielefelder Masterarbeit | PUB-ID: 2776749 OA
Ranking of disease gene associations from large corpora of scientific publications
ter Horst, Hendrik, Ranking of disease gene associations from large corpora of scientific publications. (). Bielefeld, 2015
PUB | PDF
 

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