RS\_GV at SemEval-2021 Task 1: Sense Relative Lexical Complexity Prediction

Abstract

We present the technical report of the system called RS\_GV at SemEval-2021 Task 1 on lexical complexity prediction of English words. RS\_GV is a neural network using hand-crafted linguistic features in combination with character and word embeddings to predict target words' complexity. For the generation of the hand-crafted features, we set the target words in relation to their senses. RS\_GV predicts the complexity well of biomedical terms but it has problems with the complexity prediction of very complex and very simple target words.

Tasks

Reproductions