WikiNER-fr-gold: A Gold-Standard NER Corpus
Authors: name: Danrun Cao, name: Nicolas Béchet, name: Pierre-François Marteau

We address in this article the the quality of the WikiNER corpus, a
multilingual Named Entity Recognition corpus, and provide a consolidated
version of it. The annotation of WikiNER was produced in a semi-supervised
manner i.e. no manual verification has been carried out a posteriori. Such
corpus is called silver-standard. In this paper we propose WikiNER-fr-gold
which is a revised version of the French proportion of WikiNER. Our corpus
consists of randomly sampled 20% of the original French sub-corpus (26,818
sentences with 700k tokens). We start by summarizing the entity types included
in each category in order to define an annotation guideline, and then we
proceed to revise the corpus. Finally we present an analysis of errors and
inconsistency observed in the WikiNER-fr corpus, and we discuss potential
future work directions.