A survey on open information extraction C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:1806.05599, 2018 | 258 | 2018 |
AL: An adaptive learning support system for argumentation skills T Wambsganss, C Niklaus, M Cetto, M Söllner, S Handschuh, ... Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 100 | 2020 |
Graphene: Semantically-linked propositions in open information extraction M Cetto, C Niklaus, A Freitas, S Handschuh arXiv preprint arXiv:1807.11276, 2018 | 64 | 2018 |
Transforming complex sentences into a semantic hierarchy C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:1906.01038, 2019 | 51 | 2019 |
DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:1909.12140, 2019 | 18 | 2019 |
Graphene: a context-preserving open information extraction system M Cetto, C Niklaus, A Freitas, S Handschuh arXiv preprint arXiv:1808.09463, 2018 | 15 | 2018 |
EDUCATIONAL CHATBOTS FOR COLLABORATIVE LEARNING: RESULTS OF A DESIGN EXPERIMENT IN A MIDDLE SCHOOL M Burkhard, S Seufert, M Cetto, S Handschuh | 9 | 2022 |
Mathematical Foundations of Data Science T Hrycej, B Bermeitinger, M Cetto, S Handschuh Springer Nature, 2023 | 4 | 2023 |
Context-Preserving Text Simplification C Niklaus, M Cetto, A Freitas, S Handschuh arXiv preprint arXiv:2105.11178, 2021 | 4 | 2021 |
The Textbook Learns to Talk: How to Design Chatbot-Mediated Learning to Foster Collaborative High-Order Learning? M Burkhard, S Seufert, M Cetto, S Handschuh Innovate Learning Summit, 12-21, 2021 | 3 | 2021 |
A canonical context-preserving representation for open IE: Extracting Semantically typed relational tuples from complex sentences C Niklaus, M Cetto, A Freitas, S Handschuh Knowledge-Based Systems, 110455, 2023 | 1 | 2023 |
Specific Problems of Computer Vision T Hrycej, B Bermeitinger, M Cetto, S Handschuh Mathematical Foundations of Data Science, 195-207, 2023 | 1 | 2023 |
Application-Specific Mappings and Measuring the Fit to Data T Hrycej, B Bermeitinger, M Cetto, S Handschuh Mathematical Foundations of Data Science, 7-53, 2023 | | 2023 |
Specific Problems of Natural Language Processing T Hrycej, B Bermeitinger, M Cetto, S Handschuh Mathematical Foundations of Data Science, 167-194, 2023 | | 2023 |
Numerical Algorithms for Data Science T Hrycej, B Bermeitinger, M Cetto, S Handschuh Mathematical Foundations of Data Science, 129-163, 2023 | | 2023 |
Learning and Generalization T Hrycej, B Bermeitinger, M Cetto, S Handschuh Mathematical Foundations of Data Science, 83-128, 2023 | | 2023 |
Data Science and Its Tasks T Hrycej, B Bermeitinger, M Cetto, S Handschuh Mathematical Foundations of Data Science, 1-3, 2023 | | 2023 |
Data Processing by Neural Networks T Hrycej, B Bermeitinger, M Cetto, S Handschuh Mathematical Foundations of Data Science, 55-82, 2023 | | 2023 |
Download and Usage M Cetto, C Niklaus, A Freitas, S Handschuh | | |