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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 …
Multils: A multi-task lexical simplification framework
Lexical Simplification (LS) automatically replaces difficult to read words for easier
alternatives while preserving a sentence's original meaning. LS is a precursor to Text …
alternatives while preserving a sentence's original meaning. LS is a precursor to Text …
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 …
An extensible massively multilingual lexical simplification pipeline dataset using the MultiLS framework
We present preliminary findings on the MultiLS dataset, developed in support of the 2024
Multilingual Lexical Simplification Pipeline (MLSP) Shared Task. This dataset currently …
Multilingual Lexical Simplification Pipeline (MLSP) Shared Task. This dataset currently …
Gmu at mlsp 2024: Multilingual lexical simplification with transformer models
This paper presents GMU's submission to the Multilingual Lexical Simplification Pipeline
(MLSP) shared task at the BEA workshop 2024. The task includes Lexical Complexity …
(MLSP) shared task at the BEA workshop 2024. The task includes Lexical Complexity …
MultiLS: An End-to-End Lexical Simplification Framework
Lexical Simplification (LS) automatically replaces difficult to read words for easier
alternatives while preserving a sentence's original meaning. Several datasets exist for LS …
alternatives while preserving a sentence's original meaning. Several datasets exist for LS …
Enhancing Lexical Complexity Prediction Through Few-Shot Learning with GPT-3
JA Ortiz-Zambrano, CH Espín-Riofrío… - Proceedings of the …, 2024 - aclanthology.org
This paper describes an experiment to evaluate the ability of the GPT-3 language model to
classify terms regarding their lexical complexity. This was achieved through the creation and …
classify terms regarding their lexical complexity. This was achieved through the creation and …
Computational Approaches to Lexical Complexity Prediction and Simplification
K North - 2024 - search.proquest.com
Lexical Simplification (LS) automatically replaces difficult to understand words with easier
alternatives whilst maintaining the original meaning of a sentence. LS serves as a …
alternatives whilst maintaining the original meaning of a sentence. LS serves as a …