Lexical complexity prediction: An overview
The occurrence of unknown words in texts significantly hinders reading comprehension. To
improve accessibility for specific target populations, computational modeling has been …
improve accessibility for specific target populations, computational modeling has been …
[PDF][PDF] Automatic text simplification for social good: Progress and challenges
S Štajner - Findings of the Association for Computational …, 2021 - aclanthology.org
Since the late 1990s, automatic text simplification (ATS) was promoted as a natural
language processing (NLP) task with great potential to make texts more accessible to …
language processing (NLP) task with great potential to make texts more accessible to …
Semeval-2021 task 1: Lexical complexity prediction
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 …
Complexity Prediction. We provided participants with an augmented version of the CompLex …
Findings of the TSAR-2022 shared task on multilingual lexical simplification
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 …
organized as part of the Workshop on Text Simplification, Accessibility, and Readability …
Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set
Abstract The COrona VIrus Disease 19 (COVID-19) pandemic required the work of all global
experts to tackle it. Despite the abundance of new studies, privacy laws prevent their …
experts to tackle it. Despite the abundance of new studies, privacy laws prevent their …
Lsbert: Lexical simplification based on bert
Lexical simplification (LS) aims at replacing complex words with simpler alternatives. LS
commonly consists of three main steps: complex word identification, substitute generation …
commonly consists of three main steps: complex word identification, substitute generation …
The BEA 2024 shared task on the multilingual lexical simplification pipeline
We report the findings of the 2024 Multilingual Lexical Simplification Pipeline shared task.
We released a new dataset comprising 5,927 instances of lexical complexity prediction and …
We released a new dataset comprising 5,927 instances of lexical complexity prediction and …
Lexical simplification benchmarks for English, Portuguese, and Spanish
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 …
understand texts written using a basic vocabulary. Their understanding of everyday texts is …
Complex: A new corpus for lexical complexity prediction from likert scale data
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 …
vital step in many NLP applications such as text simplification. This task is commonly …
Deep learning approaches to lexical simplification: A survey
Lexical Simplification (LS) is the task of substituting complex words within a sentence for
simpler alternatives while maintaining the sentence's original meaning. LS is the lexical …
simpler alternatives while maintaining the sentence's original meaning. LS is the lexical …