数据集:
bigbio/bionlp_st_2019_bb
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。
@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.", }