ANNLOR: A Naïve Notation-system for Lexical Outputs Ranking

Anne-Laure Ligozat (1) , Cyril Grouin (1) , Anne Garcia-Fernandez (1) , Delphine Bernhard (2)

1 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
2 LILPA - Linguistique, Langues et Parole

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.

Domaines: Traitement du texte et du document

Anne-Laure Ligozat, Cyril Grouin, Anne Garcia-Fernandez, Delphine Bernhard. ANNLOR: A Naïve Notation-system for Lexical Outputs Ranking. First Joint Conference on Lexical and Computational Semantics (*SEM), Jun 2012, Montreal, Canada. pp.487-492. ⟨hal-00790866⟩