In this paper we describe a natural language generation system which produces complex sentences from a biology knowledge base. The NLG system allows domain experts to discover errors in the knowledge base and generates certain parts of answers in response to users’ questions in an e-textbook application. The system allows domain experts to customise its lexical resources and to set parameters w...

We investigate second generation migrants and natives in Germany’s education system. We determine at what stage the persistent native-migrant gap in labor market and schooling outcomes emerges. Controlling for family background and other characteristics, we employ a matching approach in order to account for the fact that migrants and natives are different. We find that second generation migrant...

<span>On the internet where number of database developers is increasing with availability huge data to be stored and queried. Establishing relations between various schemas helping by filtering, prioritizing, suggesting relevant schema a requirement. Recommendation system plays an important role in searching through large volume dynamically generated provide personalized services. Althoug...

We propose KnowGL, a tool that allows converting text into structured relational data represented as set of ABox assertions compliant with the TBox given Knowledge Graph (KG), such Wikidata. address this problem sequence generation task by leveraging pre-trained sequence-to-sequence language models, e.g. BART. Given sentence, we fine-tune models to detect pairs entity mentions and jointly gener...

Abstract. With this paper, we aim to raise awareness of the challenges generational transition in German nuclear industry. We present potential solutions for transferring and preserving knowledge future. For approximately 60 years, Germany has operated facilities successfully safely. phased out peaceful use energy 2023 by shutting down last three power plants. At same time, a shift is imminent ...