Projects

The research work in DEEPLEE, which is carried out in the Language Technology research departments in Saabrücken and Berlin, builds on DFKI’s expertise in the areas of deep learning (DL) and language technology (LT) and develops it further. They aim for profound improvements of DL approaches in LT by focusing on four central, open research topics: Modularity in DNN architectures, Use of external knowledge, DNNs with explanation functionality, Machine Teaching Strategies for DNNs

The aim of the PLASS project is to develop a prototypical B2B platform for AI-based decision support for supply chain management. The focus is on the automatic recognition of decision-relevant information and the acquisition of structured knowledge from global and multilingual text sources. These sources provide a large database for SCM information, especially for the early detection of critical events and risks, but also of opportunities, e.g. through new technologies, at suppliers and supply chains. PLASS enables SMEs and large companies to continuously monitor their suppliers and supply chains, and supports supply chain managers in risk assessment and decision-making.

In the SIM3S project, data from the BMVI data offerings mCloud and MDM will be linked, refined and jointly analysed with other open data, user-generated content and data from individual modes of transport and other mobility-relevant companies in order to remove barriers and barriers to discrimination in everyday mobility. For the implementation of the project, state-of-the-art technologies and methods from the areas of Big Data Intelligent Analysis of mass data and artificial intelligence, in particular Natural Language Processing (NLP), are used.