Fine-Grained Geographical Relation Extraction from Wikipedia

In this paper, we present work on enhancing the basic data resource of a context-aware system. First, we introduce a supervised approach to extracting geographical relations on a fine-grained level. Second, we present a novel way of using Wikipedia as a corpus based on self-annotation. A self-annotation is an automatically created high-quality annotation that can be used for training and evaluation. The fined-grained relations are used to complete gazetteer data. The precision and recall scores of more than 97 % confirm that a statistical IE pipeline can be used to improve the data quality of community-based resources. 1