iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system.
iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system.
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BioC 标准格式的 iSimp：增强句子简化系统的互操作性。
DOI：
10.1093/database/bau038
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Vijay-Shanker,K
中科院分区：
文献类型：
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作者：
Peng,Yifan;Tudor,CatalinaO;Torii,Manabu;Wu,CathyH;Vijay-Shanker,K
本文报告了在我们的句子简化系统iSimp中使用BioC标准格式，并演示了其通用性。iSimp旨在简化生物医学文本中常见的复杂句子，并已被证明可以改进依赖于句子结构分析的现有文本挖掘应用程序。通过采用BioC格式，我们的目标是使iSimp易于与生物医学领域的其他应用程序进行互操作。为了研究iSimp在BioC中的实用性，我们实现了一个基于规则的关系提取系统，该系统使用iSimp作为预处理模块，使用BioC进行数据交换。对BioNLP-ST 2011 GENIA事件提取（GE）任务的训练语料的评估表明，iSimp句子简化在不降低精度的情况下提高了3.2%的召回率。iSimp简化注释的语料库，包括我们以前使用的语料库和当前研究中的GE语料库，已经转换为BioC格式，并在项目的网站上公开提供：http://research.bioinformatics.udel.edu/isimp/。
This article reports the use of the BioC standard format in our sentence simplification system, iSimp, and demonstrates its general utility. iSimp is designed to simplify complex sentences commonly found in the biomedical text, and has been shown to improve existing text mining applications that rely on the analysis of sentence structures. By adopting the BioC format, we aim to make iSimp readily interoperable with other applications in the biomedical domain. To examine the utility of iSimp in BioC, we implemented a rule-based relation extraction system that uses iSimp as a preprocessing module and BioC for data exchange. Evaluation on the training corpus of BioNLP-ST 2011 GENIA Event Extraction (GE) task showed that iSimp sentence simplification improved the recall by 3.2% without reducing precision. The iSimp simplification-annotated corpora, both our previously used corpus and the GE corpus in the current study, have been converted into the BioC format and made publicly available at the project’s Web site: http://research.bioinformatics.udel.edu/isimp/ .Database URL:http://research.bioinformatics.udel.edu/isimp/