You are here:
narratives in social media texts Evaluating (deep) language understanding: e.g. in comparing machine learning/symbolic AI/hybrid AI Visualization for NLU: e.g. interactive topic networks or narrative graphs
Section: FB3
science, marketing, management, taxation and unite in the spirit of entrepreneurship. Those who want to learn more can discover Förderfrage's Website or LinkedIn-Profil
Section: FB7
218-64424 ORCID Research Interests Knowledge representation and ontologies Formal semantics Machine learning models in Natural Language Processing Human Computer Interaction (HCI) Possible thesis projects:
project with and about Physarum polycephalum . There is an exciting line-up of presentations. We will learn about genetics, cell biology and physics of Physarum. Theories on cell motility, network dynamics
Section: FB1
stimuli, their modality, and participants’ response options. Second, signal processing and machine learning methods will be leveraged to identify and differentiate hate speech from other types of speech for
Health Sciences/Human Sciences. Within the framework of the project PROFIL Gender (project-based learning, explorative and interdisciplinary) we have developed new didactic formats, across disciplines,
Section: FB11
Clear First Hurdle on the Way to Excellence Funding Pathways toward a sustainable human exploration. Learn more about how the mindset emerging from thinking under the severe constraints in Mars will benefit
Section: Sites
Academic Practice" page. more Responsible Research At the University of Bremen, we research, teach, and learn in a manner that is responsible for society and for peaceful and sustainable global development. In
Section: Research
in core areas such as biodiversity dynamics, data analysis and scientific communication, you will learn to investigate how current and emerging environmental changes affect populations and species communities
Section: FB2
measurement and interpretation and potential usefulness in human-machine interfaces. They should learn to analyze and formally describe the problems, challenges and potential of using these signals for