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Relation extraction between bacteria and biotopes from biomedical texts with attention mechanisms and domain-specific contextual representations

机译:从具有注意机制和特定领域上下文表示的生物医学文本中提取细菌与生物群落之间的关系

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摘要

Due to the rapid development of computational and biological technology, the biomedical literature is expanding at an exponential rate [ ]. This situation leads to difficulty manually extracting the required information. In BioNLP-ST 2016, the Bacteria Biotope (BB) task [ ] followed the general outline and goals of previous tasks defined in 2011 [ ] and 2013 [ ]. This task aims to investigate the interactions of bacteria and its biotope; habitats or geographical entity, from genetic, phylogenetic, and ecology perspectives. It involves the _ relation, which is a mandatory relation between related arguments, the bacteria and the location where they live. Information pertaining to the habitats where bacteria live is particularly critical in applied microbiology fields such as food safety, health sciences, and waste processing [ – ]. An example relation between bacteria and their location in this task is shown in Fig.  .
机译:由于计算和生物技术的飞速发展,生物医学文献正以指数级的速度发展[]。这种情况导致难以手动提取所需的信息。在BioNLP-ST 2016中,细菌生物群落(BB)任务[]遵循了2011 []和2013 []中定义的先前任务的总体概述和目标。该任务旨在研究细菌与其生物群落之间的相互作用。从遗传,系统发育和生态学角度来看的栖息地或地理实体。它涉及_关系,这是相关参数,细菌及其生存位置之间的强制性关系。在食品安全,健康科学和废物处理等应用微生物学领域,与细菌居住的栖息地有关的信息尤为重要[–]。图中显示了此任务中细菌与其位置之间的示例关系。

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