We present an automatic approach to the construction of BabelNet, a very large, wide-
coverage multilingual semantic network. Key to our approach is the integration of …

We automatically create enormous, free and multilingual silver-standard training annotations
for named entity recognition (ner) by exploiting the text and structure of Wikipedia. Most ner …

The crisis at General Motors threatens to drag down Adam Opel, a storied German brand
that GM bought 80 years ago, on the eve of the Great Depression. Many in the industry say …

In recent years, a number of projects have turned to Wikipedia to establish large-scale
taxonomies that describe orders of magnitude more entities than traditional manually built …

This paper describes a multi-lingual concept network obtained automatically by mining for
concepts and relations and exploiting a variety of sources of knowledge from Wikipedia …

A knowledge base for real-world language processing applications should consist of a large
base of facts and reasoning mechanisms that combine them to induce novel and more …

Wikipedia becomes one of the largest knowledge bases on the Web. It has attracted 513
million page views per day in January 2012. However, one critical issue for Wikipedia is that …

The rapid globalization of Wikipedia is generating a parallel, multi-lingual corpus of
unprecedented scale. Pages for the same topic in many different languages emerge both as …

Automatically discovering cross-lingual links (CLs) between wikis can largely enrich the
cross-lingual knowledge and facilitate knowledge sharing across different languages. In …

The crosslingual link structure of Wikipedia represents a valuable resource which can be
exploited for crosslingual natural language processing applications. However, this requires …