Bridging the Gap between Cross-lingual NLP and DBpedia by Exploiting Wikipedia
Published: 2014 Oktober
Buchtitel: Proceedings of the NLP&DBpedia workshop co-located with the 13th International Semantic Web Conference (ISWC 2014)
DBpedia, as a large repository of structured knowledge, has become a valuable resource for language technologies. On the other hand, multilinguality and cross-linguality have emerged as issues of major interest. However, the deficiency in unstructured resources and cross-lingual structures for DBpedia hinders its more wide-spread application in natural language processing (NLP) tasks, especially in the cross-lingual context. In this paper, we introduce our NLP resources extracted from Wikipedia, which aim at bridging the gap between cross-lingual NLP and DBpedia. In order to achieve this, we exploited various kinds of elements and structures in Wikipedia to derive different associations between NLP elements and DBpedia resources.