Abstract
Multilingual knowledge bases are the key for crosslingual and multilingual applications such as Question Answering,
Machine Translation, and Search. They facilitate information
access and provide valuable training corpora for multi- and
cross-lingual methods and frameworks. In this work, we evaluate
the performance of different language identification methods
and frameworks over DBpedia. We show that these approaches
perform poorly on rdfs:labels.
Users
Please
log in to take part in the discussion (add own reviews or comments).