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 …
Data-driven sentence simplification: Survey and benchmark
F Alva-Manchego, C Scarton, L Specia - Computational Linguistics, 2020 - direct.mit.edu
Sentence Simplification (SS) aims to modify a sentence in order to make it easier to read
and understand. In order to do so, several rewriting transformations can be performed such …
and understand. In order to do so, several rewriting transformations can be performed such …
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 …
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 …
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 …
Lexical simplification with pretrained encoders
Lexical simplification (LS) aims to replace complex words in a given sentence with their
simpler alternatives of equivalent meaning. Recently unsupervised lexical simplification …
simpler alternatives of equivalent meaning. Recently unsupervised lexical simplification …
On the ethical considerations of text simplification
S Gooding - arXiv preprint arXiv:2204.09565, 2022 - arxiv.org
This paper outlines the ethical implications of text simplification within the framework of
assistive systems. We argue that a distinction should be made between the technologies …
assistive systems. We argue that a distinction should be made between the technologies …
Specializing unsupervised pretraining models for word-level semantic similarity
Unsupervised pretraining models have been shown to facilitate a wide range of downstream
NLP applications. These models, however, retain some of the limitations of traditional static …
NLP applications. These models, however, retain some of the limitations of traditional static …
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 …