Wikicorpus: A word-sense disambiguated multilingual Wikipedia corpus
Samuel Reese, Gemma Boleda, Montse Cuadros, Lluís Padró and German Rigau
In: LREC 2010, 19-21 May 2010, Valletta, Malta.
This article presents a new freely available trilingual corpus (Catalan, Spanish, English) that contains large portions of the Wikipedia
and has been automatically enriched with linguistic information. To our knowledge, this is the largest such corpus that is freely available
to the community: In its present version, it contains over 750 million words. The corpora have been annotated with lemma and part of
speech information using the open source library FreeLing. Also, they have been sense annotated with the state of the art Word Sense
Disambiguation algorithm UKB. As UKB assignsWordNet senses, andWordNet has been aligned across languages via the InterLingual
Index, this sort of annotation opens the way to massive explorations in lexical semantics that were not possible before. We present a first
attempt at creating a trilingual lexical resource from the sense-tagged Wikipedia corpora, namely, WikiNet. Moreover, we present two
by-products of the project that are of use for the NLP community: An open source Java-based parser for Wikipedia pages developed for
the construction of the corpus, and the integration of the WSD algorithm UKB in FreeLing.