Paper: Personalizing PageRank for Word Sense Disambiguation

ACL ID E09-1005
Title Personalizing PageRank for Word Sense Disambiguation
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2009

In this paper we propose a new graph- based method that uses the knowledge in a LKB (based on WordNet) in order to perform unsupervised Word Sense Disam- biguation. Our algorithm uses the full graph of the LKB efficiently, performing better than previous approaches in English all-words datasets. We also show that the algorithm can be easily ported to other lan- guages with good results, with the only re- quirement of having a wordnet. In addi- tion, we make an analysis of the perfor- mance of the algorithm, showing that it is efficient and that it could be tuned to be faster.