task_categories:token-classification task_ids:named-entity-recognition annotations_creators:expert-generated language_creators:found multilinguality:monolingual size_categories:10K<n<100K source_datasets:extended|other-reuters-corpus language:en license:other Bot region:us
The shared task of CoNLL-2003 concerns language-independent named entity recognition. We will concentrate on
four types of named entities: persons, locations, organizations and names of miscellaneous entities that do
not belong to the previous three groups.

The CoNLL-2003 shared task data files contain four columns separated by a single space. Each word has been put on
a separate line and there is an empty line after each sentence. The first item on each line is a word, the second
a part-of-speech (POS) tag, the third a syntactic chunk tag and the fourth the named entity tag. The chunk tags
and the named entity tags have the format I-TYPE which means that the word is inside a phrase of type TYPE. Only
if two phrases of the same type immediately follow each other, the first word of the second phrase will have tag
B-TYPE to show that it starts a new phrase. A word with tag O is not part of a phrase. Note the dataset uses IOB2
tagging scheme, whereas the original dataset uses IOB1.

For more details see https://www.clips.uantwerpen.be/conll2003/ner/ and https://www.aclweb.org/anthology/W03-0419
@inproceedings{tjong-kim-sang-de-meulder-2003-introduction,
  title = "Introduction to the {C}o{NLL}-2003 Shared Task: Language-Independent Named Entity Recognition",
  author = "Tjong Kim Sang, Erik F.  and
    De Meulder, Fien",
  booktitle = "Proceedings of the Seventh Conference on Natural Language Learning at {HLT}-{NAACL} 2003",
  year = "2003",
  url = "https://www.aclweb.org/anthology/W03-0419",
  pages = "142--147",
}
---
annotations_creators:
- expert-generated
language:
- en
language_creators:
- found
license:
- other
multilinguality:
- monolingual
paperswithcode_id: conll-2003
pretty_name: FavsBot
size_categories:
- 10K<n<100K
source_datasets:
- extended|other-reuters-corpus
tags:
- Bot
task_categories:
- token-classification
task_ids:
- named-entity-recognition
train-eval-index:
- col_mapping:
    ner_tags: tags
    tokens: tokens
  metrics:
  - name: seqeval
    type: seqeval
  splits:
    eval_split: test
    train_split: train
  task: token-classification
  task_id: entity_extraction
---