title: WikiNER-fr-gold: A Gold-Standard NER Corpus
summary: 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.
paper_authors._id: 6728996ef8895b0e4ea925ff
paper_authors.name: Danrun Cao
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-11-04T21:34:42.130Z
paper_authors._id: 6357a4febed5106be03fdc03
paper_authors.avatarUrl: /avatars/cd791e1a8251ef9f3ffbea8e4b39720a.svg
paper_authors.fullname: Danrun Cao
paper_authors.type: user
paper_authors.user: danrun
paper_authors._id: 6728996ef8895b0e4ea92600
paper_authors.name: Nicolas Béchet
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-11-04T21:34:47.313Z
paper_authors._id: 63dcd20822cc06e76a8447d5
paper_authors.avatarUrl: /avatars/849974ad4a6ebf852927ae45ef413085.svg
paper_authors.fullname: Nicolas Béchet
paper_authors.type: user
paper_authors.user: becnic
paper_authors._id: 6728996ef8895b0e4ea92601
paper_authors.name: Pierre-François Marteau
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-11-04T21:34:53.345Z
paper_authors._id: 64425bae3bfe6b220253d4d5
paper_authors.avatarUrl: /avatars/354ec2495d7009d2fafb98b72b18e4c8.svg
paper_authors.fullname: Pierre-François Marteau
paper_authors.type: user
paper_authors.user: pfmarteau
paper_title: WikiNER-fr-gold: A Gold-Standard NER Corpus
paper_summary: 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.