We present YAGO3, an extension of the YAGO knowledge base that combines the
information from the Wikipedias in multiple languages. Our technique fuses the multilingual …

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 …

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 …

Wikipedia has grown to a huge, multi-lingual source of encyclopedic knowledge. Apart from
textual content, a large and ever-increasing number of articles feature so-called infoboxes …

Recent research has taken advantage of Wikipedia's multilingualism as a resource for cross-
language information retrieval and machine translation, as well as proposed techniques for …

Information Synchronization of semi-structured data across languages is challenging. For
instance, Wikipedia tables in one language should be synchronized across languages. To …

Wikipedia articles in different languages are connected by interwiki links that are
increasingly being recognized as a valuable source of cross-lingual information …

In this paper we describe a joint effort by the City University of New York (CUNY), University
of Illinois at Urbana-Champaign (UIUC) and SRI International at participating in the mono …

Wikipedia infoboxes are a valuable source of structured knowledge for global knowledge
sharing. However, infobox information is very incomplete and imbalanced among the …

The automatic generation of entity profiles from unstructured text, such as Knowledge Base
Population, if applied in a multi-lingual setting, generates the need to align such profiles …