bigbio/scai_chemical

Dataset

language:

10 commits

1 linked in READMEs

updated Dec 22, 2022

See the code

README

language:

en bigbio_language:
English license: unknown multilinguality: monolingual bigbio_license_shortname: UNKNOWN pretty_name: SCAI Chemical homepage: https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpora-for-chemical-entity-recognition.html bigbio_pubmed: True bigbio_public: True bigbio_tasks:
NAMED_ENTITY_RECOGNITION

Dataset Card for SCAI Chemical

Dataset Description

Homepage: https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpora-for-chemical-entity-recognition.html
Pubmed: True
Public: True
Tasks: NER

SCAI Chemical is a corpus of MEDLINE abstracts that has been annotated to give an overview of the different chemical name classes found in MEDLINE text.

Citation Information

@inproceedings{kolarik:lrec-ws08,
  author    = {Kol{'a}{r}ik, Corinna and Klinger, Roman and Friedrich, Christoph M and Hofmann-Apitius, Martin and Fluck, Juliane},
  title     = {Chemical Names: {T}erminological Resources and Corpora Annotation},
  booktitle = {LREC Workshop on Building and Evaluating Resources for Biomedical Text Mining},
  year      = {2008},
}

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bigbio/scai_chemical

Dataset

language:

10 commits

1 linked in READMEs

updated Dec 22, 2022

See the code

README

language:

en bigbio_language:
English license: unknown multilinguality: monolingual bigbio_license_shortname: UNKNOWN pretty_name: SCAI Chemical homepage: https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpora-for-chemical-entity-recognition.html bigbio_pubmed: True bigbio_public: True bigbio_tasks:
NAMED_ENTITY_RECOGNITION

Dataset Card for SCAI Chemical

Dataset Description

Homepage: https://www.scai.fraunhofer.de/en/business-research-areas/bioinformatics/downloads/corpora-for-chemical-entity-recognition.html
Pubmed: True
Public: True
Tasks: NER

SCAI Chemical is a corpus of MEDLINE abstracts that has been annotated to give an overview of the different chemical name classes found in MEDLINE text.

Citation Information

@inproceedings{kolarik:lrec-ws08,
  author    = {Kol{'a}{r}ik, Corinna and Klinger, Roman and Friedrich, Christoph M and Hofmann-Apitius, Martin and Fluck, Juliane},
  title     = {Chemical Names: {T}erminological Resources and Corpora Annotation},
  booktitle = {LREC Workshop on Building and Evaluating Resources for Biomedical Text Mining},
  year      = {2008},
}