2016年BioNLP共享任务中植物种子发育监管网络(SeeDev)任务概述

Estelle Chaix, B. Dubreucq, Abdelhak Fatihi, Dialekti Valsamou, Robert Bossy, Mouhamadou Ba, Louise Deléger, Pierre Zweigenbaum, P. Bessières, L. Lepiniec, C. Nédellec
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引用次数: 34

摘要

本文介绍了BioNLP共享任务2016中的SeeDev任务。种子开发任务的目的是从科学文章中提取模式植物拟南芥种子发育的遗传和分子机制的描述。SeeDev任务包括提取许多不同的事件类型,这些事件类型涉及广泛的实体类型,以便它们准确地反映生物机制的复杂性。语料库由从相关科学文章的全文中选择的段落组成。在本文中,我们描述了SeeDev任务的组织、语料库特征以及用于评估参与系统的度量。对七个参与系统的最终测试结果进行了分析和讨论。最好的f值是0.432,这与分子生物学类似任务的得分相近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overview of the Regulatory Network of Plant Seed Development (SeeDev) Task at the BioNLP Shared Task 2016.
This paper presents the SeeDev Task of the BioNLP Shared Task 2016. The purpose of the SeeDev Task is the extraction from scientific articles of the descriptions of genetic and molecular mechanisms involved in seed development of the model plant, Arabidopsis thaliana. The SeeDev task consists in the extraction of many different event types that involve a wide range of entity types so that they accurately reflect the complexity of the biological mechanisms. The corpus is composed of paragraphs selected from the full-texts of relevant scientific articles. In this paper, we describe the organization of the SeeDev task, the corpus characteristics, and the metrics used for the evaluation of participant systems. We analyze and discuss the final results of the seven participant systems to the test. The best F-score is 0.432, which is similar to the scores achieved in similar tasks on molecular biology.
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