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 [1]. It has also been applied on WSD on specific domains [2]. The algorithm can also be used to calculate lexical similarity/relatedness of words/sentences. See [3] for an application of UKB based similarity.


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Mailing List

Please, pose any questions/problems you may have using the following mailing list: UKB mailing list

References

[1] 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. (PDF)

[2] 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.  (PDF)

[3] 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.  (PDF)

Acknowledgments

This work has been partially funded by the EU Commission (project KYOTO ICT-2007-211423) and Spanish Research Department (project KNOW TIN2006-15049-C03-01).

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