Yadav Prabha, Jezek Elisabetta, Bouillon Pierrette, Callahan Tiffany J, Bada Michael, Hunter Lawrence E, Cohen K Bretonnel
Computational Bioscience Program, University of Colorado School of Medicine, Aurora, Colorado 80045, USA.
Department of Humanities, University of Pavia, Italy.
Stud Health Technol Inform. 2017;245:644-648.
Semantic relations have been studied for decades without yet reaching consensus on the set of these relations. However, biomedical language processing and ontologies rely on these relations, so it is important to be able to evaluate their suitability. In this paper we examine the role of inter-annotator agreement in choosing between competing proposals regarding the set of such relations. The experiments consisted of labeling the semantic relations between two elements of noun-noun compounds (e.g. cell migration). Two judges annotated a dataset of terms from the biomedical domain using two competing sets of relations and analyzed the inter-annotator agreement. With no training and little documentation, agreement on this task was fairly high and disagreements were consistent. The results support the utility of the relation-based approach to semantic representation.
语义关系已经研究了几十年，但对于这些关系的集合尚未达成共识。然而，生物医学语言处理和本体论依赖于这些关系，因此能够评估它们的适用性很重要。在本文中，我们研究了注释者间一致性在关于此类关系集合的竞争提案之间进行选择时所起的作用。实验包括标记名词 - 名词复合词的两个元素之间的语义关系（例如细胞迁移）。两名评判员使用两组相互竞争的关系对来自生物医学领域的术语数据集进行注释，并分析注释者间的一致性。在没有培训且文档很少的情况下，这项任务的一致性相当高，并且分歧是一致的。结果支持基于关系的语义表示方法的实用性。
