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

## TL;DR

This paper introduces a method to generate accurate multilingual taxonomies from Wikipedia by leveraging interlanguage links and character-level classifiers, significantly outperforming existing approaches across six languages and creating a large multilingual taxonomy resource.

## Contribution

The paper presents a novel approach combining interlanguage links and character-level classifiers to induce multilingual taxonomies, resulting in high accuracy and coverage.

## Key findings

- Outperforms state-of-the-art methods in six languages
- Creates the largest multilingual taxonomy resource
- Achieves high precision and coverage

## 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.