Non-named entities - the silent majority

Pierre-Henri Paris, Fabian M. Suchanek

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.