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Text Simplification
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Text Simplification is the task of reducing the complexity of the vocabulary and sentence structure of text while retaining its original meaning, with the goal of improving readability and understanding. Simplification has a variety of important societal applications, for example increasing accessibility for those with cognitive disabilities such as aphasia, dyslexia, and autism, or for non-native speakers and children with reading difficulties.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data
Automated Feedback Loops to Protect Text Simplification with Generative AI from Information Loss
Resource for Error Analysis in Text Simplification: New Taxonomy and Test Collection
A Structured Literature Review on Traditional Approaches in Current Natural Language Processing
LLM-based Text Simplification and its Effect on User Comprehension and Cognitive Load
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification
Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification
Automatic Input Rewriting Improves Translation with Large Language Models
Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition
Eye Tracking Based Cognitive Evaluation of Automatic Readability Assessment Measures
Improving Estonian Text Simplification through Pretrained Language Models and Custom Datasets
Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability
DisSim-FinBERT: Text Simplification for Core Message Extraction in Complex Financial Texts
Progressive Document-level Text Simplification via Large Language Models
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models
Simple is not Enough: Document-level Text Simplification using Readability and Coherence
SiTSE: Sinhala Text Simplification Dataset and Evaluation
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models
Society of Medical Simplifiers
SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score
Label Confidence Weighted Learning for Target-level Sentence Simplification
ReXplain: Translating Radiology into Patient-Friendly Video Reports
Analysing Zero-Shot Readability-Controlled Sentence Simplification
Language Resources in Spanish for Automatic Text Simplification across Domains
BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore
Exploring Large Language Models to generate Easy to Read content
SATS: simplification aware text summarization of scientific documents
Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
The SAMER Arabic Text Simplification Corpus
Spivavtor: An Instruction Tuned Ukrainian Text Editing Model
The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews
Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?
Evaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation
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