metadata

language:
  - en
bigbio_language:
  - English
license: cc-by-4.0
multilinguality: monolingual
bigbio_license_shortname: CC_BY_4p0
pretty_name: CHEBI Corpus
homepage: http://www.nactem.ac.uk/chebi
bigbio_pubmed: true
bigbio_public: true
bigbio_tasks:
  - NAMED_ENTITY_RECOGNITION
  - RELATION_EXTRACTION

Dataset Card for CHEBI Corpus

Dataset Description

Homepage: http://www.nactem.ac.uk/chebi
Pubmed: True
Public: True
Tasks: NER,RE

The ChEBI corpus contains 199 annotated abstracts and 100 annotated full papers. All documents in the corpus have been annotated for named entities and relations between these. In total, our corpus provides over 15000 named entity annotations and over 6,000 relations between entities.

Citation Information

@inproceedings{Shardlow2018,
  title        = {
    A New Corpus to Support Text Mining for the Curation of Metabolites in the
    {ChEBI} Database
  },
  author       = {
    Shardlow, M J and Nguyen, N and Owen, G and O'Donovan, C and Leach, A and
    McNaught, J and Turner, S and Ananiadou, S
  },
  year         = 2018,
  month        = may,
  booktitle    = {
    Proceedings of the Eleventh International Conference on Language Resources
    and Evaluation ({LREC} 2018)
  },
  location     = {Miyazaki, Japan},
  pages        = {280--285},
  conference   = {
    Eleventh International Conference on Language Resources and Evaluation
    (LREC 2018)
  },
  language     = {en}
}