BioNLP 2019 BB 数据集卡片

该任务聚焦于从PubMed摘要和全文中提取微生物的位置和表型，并与参考知识源（NCBI分类法、OntoBiotope本体论）进行实体特征化。该任务的动机是基于对生物多样性知识对微生物学的基础研究和应用的重要性。

引用信息

@inproceedings{bossy-etal-2019-bacteria,
    title = "Bacteria Biotope at {B}io{NLP} Open Shared Tasks 2019",
    author = "Bossy, Robert  and
      Del{'e}ger, Louise  and
      Chaix, Estelle  and
      Ba, Mouhamadou  and
      N{'e}dellec, Claire",
    booktitle = "Proceedings of The 5th Workshop on BioNLP Open Shared Tasks",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D19-5719",
    doi = "10.18653/v1/D19-5719",
    pages = "121--131",
    abstract = "This paper presents the fourth edition of the Bacteria
    Biotope task at BioNLP Open Shared Tasks 2019. The task focuses on
    the extraction of the locations and phenotypes of microorganisms
    from PubMed abstracts and full-text excerpts, and the characterization
    of these entities with respect to reference knowledge sources (NCBI
    taxonomy, OntoBiotope ontology). The task is motivated by the importance
    of the knowledge on biodiversity for fundamental research and applications
    in microbiology. The paper describes the different proposed subtasks, the
    corpus characteristics, and the challenge organization. We also provide an
    analysis of the results obtained by participants, and inspect the evolution
    of the results since the last edition in 2016.",
}