UPV-SI: word sense induction using self term expansion

  • Authors:
  • David Pinto;Paolo Rosso;Héctor Jiménez-Salazar

  • Affiliations:
  • Polytechnic University of Valencia, Valencia, Spain and B. Autonomous University of Puebla, Puebla, Mexico;Polytechnic University of Valencia, Valencia, Spain;Autonomous Metropolitan University, DF, Mexico

  • Venue:
  • SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
  • Year:
  • 2007

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Abstract

In this paper we are reporting the results obtained participating in the "Evaluating Word Sense Induction and Discrimination Systems" task of Semeval 2007. Our totally unsupervised system performed an automatic self-term expansion process by mean of co-ocurrence terms and, thereafter, it executed the unsupervised KStar clustering method. Two ranking tables with different evaluation measures were calculated by the task organizers, every table with two baselines and six runs submitted by different teams. We were ranked third place in both ranking tables obtaining a better performance than three different baselines, and outperforming the average score.