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

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 …

Lexical Simplification is the process of reducing the lexical complexity of a text by replacing
difficult words with easier to read (or understand) expressions while preserving the original …

We discover sizable differences between the lexical complexity assignments of first
language (L1) and second language (L2) English speakers. The complexity assignments of …

Various attempts have been conducted to improve the performance of text-based sentiment
analysis. These significant attempts have focused on text representation and model …

Identifying which words present in a text may be difficult to understand by common readers
is a well-known subtask in text complexity analysis. The advent of deep language models …

Reducing the complexity of texts by applying an Automatic Text Simplification (ATS) system
has been sparking interest in the area of Natural Language Processing (NLP) for several …

Lexical simplification (LS) is a process of replacing complex words with simpler alternatives
to help readers understand sentences seamlessly. This process is divided into two primary …

Estimating word complexity with binary or continuous scores is a challenging task that has
been studied for several domains and natural languages. Commonly this task is referred to …

The task of identifying complex words within a context usually referred to as Complex Word
Identification (CWI) or Lexical Complexity Prediction (LCP), is a vital component in Lexical …