UKB: Graph Based Word Sense Disambiguation and Similarity UKB is a collection of programs for performing graph-based Word Sense Disambiguation and lexical similarity/relatedness using a pre-existing knowledge base. UKB has been developed by the IXA group in the University of the Basque Country. UKB applies the so-called Personalized PageRank on a Lexical Knowledge Base (LKB) to rank the vertices of the LKB and thus perform disambiguation. The details of the method are described in . It has also been applied on WSD on specific domains . The algorithm can also be used to calculate lexical similarity/relatedness of words/sentences. See [3,4] for applications of UKB to similarity. References **********  Eneko Agirre and Aitor Soroa. 2009. Personalizing PageRank for Word Sense Disambiguation. Proceedings of the 12th conference of the European chapter of the Association for Computational Linguistics (EACL-2009). Athens, Greece.  Eneko Agirre, Oier Lopez de Lacalle and Aitor Soroa. 2009. Knowledge-based WSD and specific domains: performing over supervised WSD. Proceedings of IJCAI. Pasadena, USA.  Eneko Agirre, Enrique Alfonseca, Keith Hall, Jana Kravalova, Marius Pasca and Aitor Soroa. 2009. A Study on Similarity and Relatedness Using Distributional and WordNet-based Approaches. Proceedings of NAACL-HLT 09. Boulder, USA.  Eneko Agirre, Montse Cuadros, German Rigau and Aitor Soroa. 2010. Exploring Knowledge Bases for Similarity. Proceedings of LREC 2010. Valletta, Malta.  Eneko Agirre, Aitor Soroa, Mark Stevenson. 2010. Graph-based Word Sense Disambiguation of Biomedical Documents. Bioinformatics, Oxford University Press. Bioinformatics Vol. 26(22) pp: 2889-2896 Files under this catalogue: *************************** src/ Source code. See README, INSTALL, LICENSE. bin/ Statically compiled binaries for x86-32 linux platforms. lkb_sources/ LKB sources, sample data. See README. UKBsim/ Scripts for similarity. See README, INSTALL, LICENSE. scripts/ Scripts for converting Wordnet to ukb input files Check README files in the respective catalogue.