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arXiv · 1704.07624

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

Amit Gupta·Rémi Lebret·Hamza Harkous·Karl Aberer
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Abstract

We propose a simple, yet effective, approach towards inducing multilingual taxonomies from Wikipedia. Given an English taxonomy, our approach leverages the interlanguage links of Wikipedia followed by character-level classifiers to induce high-precision, high-coverage taxonomies in other languages. Through experiments, we demonstrate that our approach significantly outperforms the state-of-the-art, heuristics-heavy approaches for six languages. As a consequence of our work, we release presumably the largest and the most accurate multilingual taxonomic resource spanning over 280 languages.

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Amit Gupta, Rémi Lebret, Hamza Harkous, Karl Aberer. 2017-09-12. 280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia using Character-level Classification. https://arxiv.org/abs/1704.07624

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