Deriving an English Biomedical Silver Standard Corpus for CLEF-ER
Deriving an English Biomedical Silver Standard Corpus for CLEF-ER
复制标题
为 CLEF-ER 衍生英语生物医学银标准语料库
DOI：
10.5167/uzh-87213
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发表时间：
2013
影响因子：
1.9
通讯作者：
S. Clematide
中科院分区：
文献类型：
--
作者：
Ian Lewin;S. Clematide
我们描述了用于构建英语银标准注释的自动协调方法，该注释作为多语言CLEF-ER命名实体识别挑战的数据源。自动银标准的使用旨在消除对昂贵且耗时的专家注释的需要。来自项目合作伙伴的6个不同注释的统一最终投票门槛为3，保留了所有可用概念质心的45%。平均有19% （SD 14%）的原始注释被删除。进入银标准语料库的97.8%的伙伴注释具有与其协调表示完全相同的边界。
We describe the automatic harmonization method used for building the English Silver Standard annotation supplied as a data source for the multilingual CLEF-ER named entity recognition challenge. The use of an automatic Silver Standard is designed to remove the need for a costly and time-consuming expert annotation. The final voting threshold of 3 for the harmonization of 6 different annotations from the project partners kept 45% of all available concept centroids. On average, 19% (SD 14%) of the original annotations are removed. 97.8% of the partner annotations that go into the Silver Standard Corpus have exactly the same boundaries as their harmonized representations.