280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia using Character-level Classification
Computation and Language
2017-09-13 v2 Artificial Intelligence
Information Retrieval
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.
Keywords
Cite
@article{arxiv.1704.07624,
title = {280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia using Character-level Classification},
author = {Amit Gupta and Rémi Lebret and Hamza Harkous and Karl Aberer},
journal= {arXiv preprint arXiv:1704.07624},
year = {2017}
}