bigbio/chebi_nactem

Dataset

language:

0

15 commits

1 linked in READMEs

updated Dec 22, 2022

See the code

README


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

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}
}

bigbio/chebi_nactem

Dataset

language:

0

15 commits

1 linked in READMEs

updated Dec 22, 2022

See the code

README


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

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}
}