ANNLOR: a naïve notation-system for lexical outputs ranking

  • Authors:
  • Anne-Laure Ligozat;Anne Garcia-Fernandez;Cyril Grouin;Delphine Bernhard

  • Affiliations:
  • LIMSI-CNRS/ENSIIE rue John von Neumann Orsay, France;CEA-LIST NANO INNOV, Gif-sur-Yvette cedex, France;LIMSI-CNRS rue John von Neumann Orsay, France;LiLPa, Université de Strasbourg rue René Descartes, Strasbourg cedex, France

  • 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 the systems we developed while participating in the first task (English Lexical Simplification) of SemEval 2012. Our first system relies on n-grams frequencies computed from the Simple English Wikipedia version, ranking each substitution term by decreasing frequency of use. We experimented with several other systems, based on term frequencies, or taking into account the context in which each substitution term occurs. On the evaluation corpus, we achieved a 0.465 score with the first system.