论文标题
为医疗实体识别建立挪威词汇资源
Building a Norwegian Lexical Resource for Medical Entity Recognition
论文作者
论文摘要
我们提供了大量的挪威词汇资源，该资源分类为医学术语。资源合并了大型医疗数据库的信息，并包含77,000多个独特条目，包括自动映射挪威医学词典的术语。我们描述了基于关键字和后缀的自动字典条目映射背后的方法，并进一步介绍了由域专家在子集对子集执行的手动评估的结果。评估表明CA。 80％的映射是正确的。
We present a large Norwegian lexical resource of categorized medical terms. The resource merges information from large medical databases, and contains over 77,000 unique entries, including automatically mapped terms from a Norwegian medical dictionary. We describe the methodology behind this automatic dictionary entry mapping based on keywords and suffixes and further present the results of a manual evaluation performed on a subset by a domain expert. The evaluation indicated that ca. 80% of the mappings were correct.
