Issues in spatial information annotation in Korean texts

摘要

Extraction of spatial information from texts is useful in many applications, such as in navigation systems, robot systems, and question answering systems. As many information extraction systems use annotated corpus for training the systems, annotation methods affect the system's performance. In this paper, we apply the ISO-Space annotation scheme to the Korean texts and present the practical concerns for convenient annotation and effective machine learning.