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EXTRACTING BIO-MOLECULAR EVENTS FROM LITERATURE-THE BIONLP'09 SHARED TASK

机译:从文学中提取生物分子事件-BIONLP'09共享任务

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This paper presents the preparation, results and analysis of the BioNLP'09 shared task on event extraction, organized to address the automatic extraction of fine-grained information from the scientific literature on molecular biology. A representation of this information was defined taking into account both the biological and computational requirements of the task, and corpus resources manually annotated by domain experts provided to task participants. To create a basis for further progress, emphasis was placed on providing fine-grained evaluation that isolates different subtasks and allows the analysis of different aspects of the results through various evaluation criteria. In introducing this new task to the community, we made an effort to reduce the cost of participation by making common natural language processing tools, data, and evaluation methods easily accessible. The task received community-wide participation, establishing the state-of-the-art performance at fine-grained event extraction as well as allowing the identification of remaining challenges and suggesting directions for future improvements.
机译:本文介绍了BioNLP'09事件提取共享任务的准备,结果和分析,该任务旨在处理分子生物学科学文献中细粒度信息的自动提取。定义此信息的表示方式时要考虑到任务的生物学和计算要求,以及由提供给任务参与者的领域专家手动注释的语料库资源。为进一步取得进展奠定基础,重点在于提供细粒度的评估,该评估可以隔离不同的子任务,并允许通过各种评估标准对结果的不同方面进行分析。在向社区介绍这项新任务时,我们努力通过易于使用通用自然语言处理工具,数据和评估方法来降低参与成本。该任务得到了社区范围的参与,在细粒度事件提取中建立了最先进的性能,并允许识别剩余的挑战并为未来的改进提供了建议。

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