most citedLexical Complexity Prediction: An Overview

30 citations · 40 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023

Findings of the VarDial Evaluation Campaign 2023

Noëmi Aepli, Çağrı Çöltekin, Rob Van Der Goot +7

This report presents the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2023. The campaign is part of the tenth workshop on Natural Language Proce…

cs.CL20231 cited

Deep Learning Approaches to Lexical Simplification: A Survey

Kai North, Tharindu Ranasinghe, Matthew Shardlow +1

Lexical Simplification (LS) is the task of replacing complex for simpler words in a sentence whilst preserving the sentence's original meaning. LS is the lexical component of Text…

cs.CL202330 cited

Lexical Complexity Prediction: An Overview

Kai North, Marcos Zampieri, Matthew Shardlow

The occurrence of unknown words in texts significantly hinders reading comprehension. To improve accessibility for specific target populations, computational modelling has been app…

cs.CL20238 cited

Language Variety Identification with True Labels

Marcos Zampieri, Kai North, Tommi Jauhiainen +4

Language identification is an important first step in many IR and NLP applications. Most publicly available language identification datasets, however, are compiled under the assump…

cs.CL20231 cited

Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification

Horacio Saggion, Sanja Štajner, Daniel Ferrés +4

We report findings of the TSAR-2022 shared task on multilingual lexical simplification, organized as part of the Workshop on Text Simplification, Accessibility, and Readability TSA…