Combining Textual and Graph-Based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models. - Sherzod Hakimov; Hendrik ter Horst; Soufian Jebbara; Matthias Hartung; Philipp Cimiano (EKAW, 2016)

Ontology-driven Visual Exploration of Preclinical Research Data in the Spinal Cord Injury Domain. - Alexander Borowi; Hendrik ter Horst; Matthias Hartung; Veronica Estrada 001; Nicole Brazda; Hans Werner Müller; Philipp Cimiano (SEMANTiCS (Posters & Demos), 2017)

SCIO: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments. - Nicole Brazda; Hendrik ter Horst; Matthias Hartung; Cord Wiljes; Veronica Estrada 001; Roman Klinger; Wolfgang Kuchinke; Hans Werner Müller; Philipp Cimiano (JOWO, 2017)

Joint Entity Recognition and Linking in Technical Domains Using Undirected Probabilistic Graphical Models. - Hendrik ter Horst; Matthias Hartung; Philipp Cimiano (LDK, 2017)

Predicting Disease-Gene Associations using Cross-Document Graph-based Features. - Hendrik ter Horst; Matthias Hartung; Roman Klinger; Matthias Zwick; Philipp Cimiano (CoRR, 2017)

SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling. - Matthias Hartung; Hendrik ter Horst; Frank Grimm; Tim Diekmann; Roman Klinger; Philipp Cimiano (ACL (4), 2018)

Assessing the Impact of Single and Pairwise Slot Constraints in a Factor Graph Model for Template-Based Information Extraction. - Hendrik ter Horst; Matthias Hartung; Roman Klinger; Nicole Brazda; Hans Werner Müller; Philipp Cimiano (NLDB, 2018)

Cold-Start Knowledge Base Population Using Ontology-Based Information Extraction with Conditional Random Fields. - Hendrik ter Horst; Matthias Hartung; Philipp Cimiano (RW, 2018)

Structured Prediction for Joint Class Cardinality and Entity Property Inference in Model-Complete Text Comprehension. - Hendrik ter Horst; Philipp Cimiano (SPNLP@EMNLP, 2020)

Incorporating Semantic Dependencies Extracted from Knowledge Graphs into Joint Inference Template-Based Information Extraction. - Hendrik ter Horst; Philipp Cimiano (ECAI, 2020)

Learning soft domain constraints in a factor graph model for template-based information extraction. - Hendrik ter Horst; Matthias Hartung; Philipp Cimiano; Nicole Brazda; Hans Werner Müller; Roman Klinger (Data Knowl. Eng., 2020)

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

Automatic knowledge graph population with model-complete text comprehension for pre-clinical outcomes in the field of spinal cord injury. - Hendrik ter Horst; Nicole Brazda; Jessica Schira-Heinen; Julia Krebbers; Hans Werner Müller; Philipp Cimiano (Artif. Intell. Medicine, 2023)