A bunch of experiments to improve text simplification (TS) tasks using encoder-decoder transformers
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Updated
Jul 12, 2023 - Jupyter Notebook
A bunch of experiments to improve text simplification (TS) tasks using encoder-decoder transformers
Medical Text Simplification Project for a Special Topics in Natural Language Processing class
Extract text from Vikidia/Wikipedia articles [fr]
Text Simplification using Word Sense Disambiguation Using Knowledge-Based Approach
Wikipedia-Vikidia Corpus (WiViCo) - A general-purpose parallel sentence simplification dataset for French
Simplify the web and remove unwanted clutter.
the code and resources for multi-level complexity-controllable MT
Dataset with manual simplifications of COVID-19 information in English and Spanish.
NovoLS is a lexical text simplification system which I constructed as part of my dissertation project. It is largely insipired by LightLS — an older lexcial text simplifier proposed by Prof. Dr. Goran Glavaš and Dr. Sanja Štajner in 2015.
Data collection for a German Simplification Corpus. Later on an overvoew of all requested websites will be added. Furthermore, the license, the code for craling and aligning will be added.
Reference-less Quality Estimation of Text Simplification Systems
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders
Source code for Text Simplification Evaluation papers at ACL findings and CTTS workshop.
LREC-COLING 2024: WikiSplit++: Easy Data Refinement for Split and Rephrase
Dataset for automatic readability assessment and text simplification of sentences in Italian administrative language.
TSAR2022 Shared Task on Lexical Simplification - uniHD entry
Code and data for discourse-based sentence splitting experiments.
Success and Failure Linguistic Simplification Annotation 💃
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