Inproceedings,

Assessing Language Identification over DBpedia

, , , and .
2021 IEEE 15th International Conference on Semantic Computing (ICSC), page 296-297. (2021)
DOI: 10.1109/ICSC50631.2021.00084

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.

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