2 citations · 3 across the 3 of their papers we have counts for
4 papers
Lexical Simplification Benchmarks for English, Portuguese, and Spanish
Sanja Stajner, Daniel Ferres, Matthew Shardlow +3
Even in highly-developed countries, as many as 15-30\% of the population can only understand texts written using a basic vocabulary. Their understanding of everyday texts is limite…
SemEval-2021 Task 1: Lexical Complexity Prediction
Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold +1
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 (…
Detecting Multiword Expression Type Helps Lexical Complexity Assessment
Ekaterina Kochmar, Sian Gooding, Matthew Shardlow
Multiword expressions (MWEs) represent lexemes that should be treated as single lexical units due to their idiosyncratic nature. Multiple NLP applications have been shown to benefi…
CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale Data
Matthew Shardlow, Michael Cooper, Marcos Zampieri
Predicting which words are considered hard to understand for a given target population is a vital step in many NLP applications such as text simplification. This task is commonly r…