bigbio/bionlp_st_2011_rel
收藏资源简介：
BioNLP 2011 REL数据集是一个专注于生物医学领域的自然语言处理数据集，主要用于训练和评估命名实体识别、关系抽取和指代消解三个任务。该数据集特别关注于提取基因/蛋白质与关联实体之间的两种部分关系，是BioNLP Shared Task 2011的一个支持任务。数据集公开可用，并与PubMed相关联，旨在促进生物医学文本分析的研究。
The BioNLP 2011 REL dataset is a natural language processing dataset focused on the biomedical domain, primarily used for training and evaluating three tasks: named entity recognition, relation extraction and coreference resolution. This dataset specifically focuses on extracting two types of partial relations between genes/proteins and associated entities, and it is a supporting task of the BioNLP Shared Task 2011. The dataset is publicly available and linked to PubMed, aiming to promote research on biomedical text analysis.
BioNLP 2011 REL 数据集概述
基本信息
- 语言: 英语
- 许可证: GENIA_PROJECT_LICENSE
- 多语言性: 单语种
- 数据集名称: BioNLP 2011 REL
- 主页: https://github.com/openbiocorpora/bionlp-st-2011-rel
- 是否公开: 是
- 是否包含PubMed数据: 是
任务类型
- 命名实体识别 (NAMED_ENTITY_RECOGNITION)
- 关系抽取 (RELATION_EXTRACTION)
- 指代消解 (COREFERENCE_RESOLUTION)
数据集描述
- 任务详情: 该任务是BioNLP Shared Task 2011的一个支持任务，主要关注从基因/蛋白质与其相关实体之间提取两种类型的部分关系。
引用信息
@inproceedings{10.5555/2107691.2107703, author = {Pyysalo, Sampo and Ohta, Tomoko and Tsujii, Junichi}, title = {Overview of the Entity Relations (REL) Supporting Task of BioNLP Shared Task 2011}, year = {2011}, isbn = {9781937284091}, publisher = {Association for Computational Linguistics}, address = {USA}, abstract = {This paper presents the Entity Relations (REL) task, a supporting task of the BioNLP Shared Task 2011. The task concerns the extraction of two types of part-of relations between a gene/protein and an associated entity. Four teams submitted final results for the REL task, with the highest-performing system achieving 57.7% F-score. While experiments suggest use of the data can help improve event extraction performance, the task data has so far received only limited use in support of event extraction. The REL task continues as an open challenge, with all resources available from the shared task website.}, booktitle = {Proceedings of the BioNLP Shared Task 2011 Workshop}, pages = {83–88}, numpages = {6}, location = {Portland, Oregon}, series = {BioNLP Shared Task 11} }
