SemEval-2021 Task 1: Lexical Complexity Prediction
Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, Marcos Zampieri
Abstract
This paper presents the results and main findings of SemEval-2021 Task 1 -Lexical Complexity Prediction. We provided participants with an augmented version of the CompLex Corpus CompLex is an English multi-domain corpus in which words and multi-word expressions (MWEs) were annotated with respect to their complexity using a five point Likert scale. SemEval-2021 Task 1 featured two Sub-tasks: Sub-task 1 focused on single words and Sub-task 2 focused on MWEs. The competition attracted 198 teams in total, of which 54 teams submitted official runs on the test data to Sub-task 1 and 37 to Sub-task 2.
Topics & Concepts
SemEvalComputer scienceTask (project management)Natural language processingArtificial intelligenceDomain (mathematical analysis)Word (group theory)Point (geometry)Word-sense disambiguationLinguisticsWordNetMathematicsManagementMathematical analysisGeometryEconomicsPhilosophyText Readability and SimplificationNatural Language Processing TechniquesTopic Modeling