UNT-SimpRank: systems for lexical simplification ranking

  • Authors:
  • Ravi Sinha

  • Affiliations:
  • University of North Texas, Denton, Texas

  • Venue:
  • SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
  • Year:
  • 2012
  • SemEval-2012 task 1: English Lexical Simplification

    SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation

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Abstract

This paper presents three systems that took part in the lexical simplification task at SEMEVAL 2012. Speculating on what the concept of simplicity might mean for a word, the systems apply different approaches to rank the given candidate lists. One of the systems performs second-best (statistically significant) and another one performs third-best out of 9 systems and 3 baselines. Notably, the third-best system is very close to the second-best, and at the same time much more resource-light in comparison.