Matthias Hartung
Matthias Hartung
Semalytix GmbH, Chief Research & Development Officer
Potvrđena adresa e-pošte na - Početna stranica
Ontology-based information extraction and integration from heterogeneous data sources
P Buitelaar, P Cimiano, A Frank, M Hartung, S Racioppa
International Journal of Human-Computer Studies 66 (11), 759-788, 2008
Building a Multilingual Lexical Resource for Named Entity Disambiguation, Translation and Transliteration.
W Wentland, J Knopp, C Silberer, M Hartung
LREC, 2008
Finding the Appropriate Generalization Level for Binary Ontological Relations Extracted from the Genia Corpus
P Cimiano, M Hartung, E Ratsch
Exploring Supervised LDA Models for Assigning Attributes to Adjective-Noun Phrases
M Hartung, A Frank
Proceedings of the Conference on Empirical Methods in Natural Language …, 2011
A structured vector space model for hidden attribute meaning in adjective-noun phrases
M Hartung, A Frank
Proceedings of the 23rd International Conference on Computational …, 2010
Learning compositionality functions on word embeddings for modelling attribute meaning in adjective-noun phrases
M Hartung, F Kaupmann, S Jebbara, P Cimiano
Proceedings of the 15th Conference of the European Chapter of the …, 2017
Identifying Right-Wing Extremism in German Twitter Profiles: a Classification Approach
M Hartung, R Klinger, F Schmidtke, L Vogel
Natural Language Processing and Information Systems, 320-325, 2017
A resource-poor approach for linking ontology classes to Wikipedia articles
N Reiter, M Hartung, A Frank
Semantics in Text Processing 1, 381-387, 2008
Combining Textual and Graph-based Features for Named Entity Disambiguation Using Undirected Probabilistic Graphical Models
S Hakimov, H ter Horst, S Jebbara, M Hartung, P Cimiano
Knowledge Engineering and Knowledge Management, 288-302, 2016
Learning diachronic analogies to analyze concept change
M Orlikowski, M Hartung, P Cimiano
Proceedings of the 2nd Joint SIGHUM Workshop on Computational Linguistics …, 2018
Joint Entity Recognition and Linking in Technical Domains Using Undirected Probabilistic Graphical Models
H ter Horst, M Hartung, P Cimiano
International Conference on Language, Data and Knowledge, 166-180, 2017
A semi-supervised type-based classification of adjectives: Distinguishing properties and relations
M Hartung, A Frank
Proceedings of the Seventh International Conference on Language Resources …, 2010
Leveraging Linguistic Linked Data for Cross-lingual Model Transfer in the Pharmaceutical Domain
J Gracia, C Fäth, M Hartung, M Ionov, J Bosque-Gil, S Verıssimo, ...
International Semantic Web Conference (ISWC), 2020
Recent Developments for the Linguistic Linked Open Data Infrastructure
T Declerck, J McCrae, M Hartung, J Gracia, C Chiarcos, E Montiel, ...
12th Language Resources and Evaluation Conference (LREC), 2020
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling
M Hartung, H ter Horst, F Grimm, T Diekmann, R Klinger, P Cimiano
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Distributional Semantic Models of Attribute Meaning in Adjectives and Nouns
M Hartung
Computational Linguistics Department, Heidelberg University, 2015
SCIO: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments
N Brazda, H ter Horst, M Hartung, C Wiljes, V Estrada, R Klinger, ...
Proceedings of the 3rd Joint Ontology Workshops (JOWO): Ontologies and Data …, 2017
Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments
B Paassen, A Stöckel, R Dickfelder, JP Göpfert, N Brazda, T Kirchhoffer, ...
Third Workshop on Semantic Web and Information Extraction (SWAIE). The 25th …, 2014
Assessing interpretable, attribute-related meaning representations for adjective-noun phrases in a similarity prediction task
M Hartung, A Frank
Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural …, 2011
Extending Neural Question Answering with Linguistic Input Features
F Hommel, M Orlikowski, P Cimiano, M Hartung
5th Workshop on Semantic Deep Learning (SemDeep) at IJCAI 2019, 2019
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