This vision and survey paper is part of the NoRDF project and is a joint work between Pierre-Henri Paris, Syrine El Aoud and Fabian Suchanek (Télécom Paris, DIG team).
For more details, you can check the full AKBC paper here.
This is a joint work between Pierre-Henri Paris and Fabian Suchanek (both at Télécom Paris, DIG team).
Human texts usually contain a lot of noun phrases that often function as verb subjects and objects, as predicative expressions and as the complements of prepositions. When building knowledge bases, proper nouns in noun phrases are extracted and used as entities equipped with facts to populate knowledge bases. During this process, noun phrases that are not proper nouns are left unmapped, thus ignoring a vast amount of information. Consider the following example which contains a named entity and two non-named entities: