SemEval-2012 task 1: English Lexical Simplification

  • Authors:
  • Lucia Specia;Sujay Kumar Jauhar;Rada Mihalcea

  • Affiliations:
  • University of Sheffield;Research Group in Computational Linguistics University of Wolverhampton;University of North 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

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe the English Lexical Simplification task at SemEval-2012. This is the first time such a shared task has been organized and its goal is to provide a framework for the evaluation of systems for lexical simplification and foster research on context-aware lexical simplification approaches. The task requires that annotators and systems rank a number of alternative substitutes -- all deemed adequate -- for a target word in context, according to how "simple" these substitutes are. The notion of simplicity is biased towards non-native speakers of English. Out of nine participating systems, the best scoring ones combine context-dependent and context-independent information, with the strongest individual contribution given by the frequency of the substitute regardless of its context.