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We propose a simple, yet effective, approach towards inducing multilingualtaxonomies from Wikipedia. Given an English taxonomy, our approach leveragesthe interlanguage links of Wikipedia followed by character-level classifiers toinduce high-precision, high-coverage taxonomies in other languages. Throughexperiments, we demonstrate that our approach significantly outperforms thestate-of-the-art, heuristics-heavy approaches for six languages. As aconsequence of our work, we release presumably the largest and the mostaccurate multilingual taxonomic resource spanning over 280 languages.

280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia using Character-level Classification