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生物自然语言处理2013共享任务中的基因调控网络与细菌生态位任务概述。

Overview of the gene regulation network and the bacteria biotope tasks in BioNLP'13 shared task.

作者信息

Bossy Robert, Golik Wiktoria, Ratkovic Zorana, Valsamou Dialekti, Bessières Philippe, Nédellec Claire

出版信息

BMC Bioinformatics. 2015;16 Suppl 10(Suppl 10):S1. doi: 10.1186/1471-2105-16-S10-S1. Epub 2015 Jul 13.

Abstract

BACKGROUND

We present the two Bacteria Track tasks of BioNLP 2013 Shared Task (ST): Gene Regulation Network (GRN) and Bacteria Biotope (BB). These tasks were previously introduced in the 2011 BioNLP-ST Bacteria Track as Bacteria Gene Interaction (BI) and Bacteria Biotope (BB). The Bacteria Track was motivated by a need to develop specific BioNLP tools for fine-grained event extraction in bacteria biology. The 2013 tasks expand on the 2011 version by better addressing the biological knowledge modeling needs. New evaluation metrics were designed for the new goals. Moving beyond a list of gene interactions, the goal of the GRN task is to build a gene regulation network from the extracted gene interactions. BB'13 is dedicated to the extraction of bacteria biotopes, i.e. bacterial environmental information, as was BB'11. BB'13 extends the typology of BB'11 to a large diversity of biotopes, as defined by the OntoBiotope ontology. The detection of entities and events is tackled by distinct subtasks in order to measure the progress achieved by the participant systems since 2011.

RESULTS

This paper details the corpus preparations and the evaluation metrics, as well as summarizing and discussing the participant results. Five groups participated in each of the two tasks. The high diversity of the participant methods reflects the dynamism of the BioNLP research community.

CONCLUSION

The evaluation results suggest new research directions for the improvement and development of Information Extraction for molecular and environmental biology. The Bacteria Track tasks remain publicly open; the BioNLP-ST website provides an online evaluation service, the reference corpora and the evaluation tools.

摘要

背景

我们展示了2013年生物自然语言处理共享任务(ST)中的两个细菌追踪任务:基因调控网络(GRN)和细菌生态位(BB)。这些任务在2011年生物自然语言处理共享任务的细菌追踪中曾作为细菌基因相互作用(BI)和细菌生态位(BB)被引入。细菌追踪任务的动机是需要开发用于细菌生物学中细粒度事件提取的特定生物自然语言处理工具。2013年的任务在2011年版本的基础上进行了扩展,更好地满足了生物知识建模需求。针对新目标设计了新的评估指标。GRN任务的目标不仅仅是列出基因相互作用,而是从提取的基因相互作用构建基因调控网络。与BB'11一样,BB'13致力于提取细菌生态位,即细菌环境信息。BB'13将BB'11的类型学扩展到由OntoBiotope本体定义的多种生态位。实体和事件的检测由不同的子任务处理,以便衡量自2011年以来参与系统所取得的进展。

结果

本文详细介绍了语料库准备和评估指标,并总结和讨论了参与者的结果。两个任务各有五组参与。参与者方法的高度多样性反映了生物自然语言处理研究社区的活力。

结论

评估结果为分子和环境生物学信息提取的改进和发展提出了新的研究方向。细菌追踪任务仍然公开;生物自然语言处理共享任务网站提供在线评估服务、参考语料库和评估工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a1c/4511173/230f63dd34dd/1471-2105-16-S10-S1-1.jpg

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