Keywords: natural language processing, knowledge bases, information extraction
TL;DR: Natural language texts contain a large portion of non-named entities. We analyze them and show how to add them to KBs.
Abstract: Knowledge Bases (KBs) usually contain named entities. How- ever, the majority of entities in natural language text are not named. In this position paper, we first study the nature of these entities. Then we explain how they could be represented in KBs. Finally, we discuss open challenges for adding non-named entities systematically to KBs.