bigbio/bionlp_st_2019_bb

---
language:
- en
bigbio_language:
- English
license: unknown
multilinguality: monolingual
bigbio_license_shortname: UNKNOWN
pretty_name: BioNLP 2019 BB
homepage: https://sites.google.com/view/bb-2019/dataset
bigbio_pubmed: True
bigbio_public: True
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBIGUATION
- RELATION_EXTRACTION
---

# Dataset Card for BioNLP 2019 BB

## Dataset Description

- **Homepage:** https://sites.google.com/view/bb-2019/dataset
- **Pubmed:** True
- **Public:** True
- **Tasks:** NER,NED,RE

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.

## Citation Information

```
@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.",
}

```

原始信息汇总

数据集卡片 for BioNLP 2019 BB

数据集描述

• 主页: https://sites.google.com/view/bb-2019/dataset
• PubMed: True
• 公开: True
• 任务: NER, NED, RE

该任务专注于从PubMed摘要和全文摘录中提取微生物的位置和表型，并根据参考知识源（NCBI分类法、OntoBiotope本体）对这些实体进行特征化。该任务的动机是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.", }