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Text Simplification

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.

Source: Multilingual Unsupervised Sentence Simplification

Papers

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Showing 51–100 of 468 papers

TitleStatusHype
SiTSE: Sinhala Text Simplification Dataset and EvaluationCode0
VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models—0
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models—0
Society of Medical Simplifiers—0
SciGisPy: a Novel Metric for Biomedical Text Simplification via Gist Inference Score—0
Label Confidence Weighted Learning for Target-level Sentence Simplification—0
ReXplain: Translating Radiology into Patient-Friendly Video Reports—0
Analysing Zero-Shot Readability-Controlled Sentence Simplification—0
Language Resources in Spanish for Automatic Text Simplification across Domains—0
BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScoreCode0
Exploring Large Language Models to generate Easy to Read content—0
SATS: simplification aware text summarization of scientific documents—0
Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report SimplificationCode0
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese—0
The SAMER Arabic Text Simplification Corpus—0
Spivavtor: An Instruction Tuned Ukrainian Text Editing Model—0
The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews—0
Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?Code0
EASSE-DE: Easier Automatic Sentence Simplification Evaluation for GermanCode0
Evaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation—0
REFeREE: A REference-FREE Model-Based Metric for Text SimplificationCode0
ARTiST: Automated Text Simplification for Task Guidance in Augmented RealityCode0
MultiLS: A Multi-task Lexical Simplification Framework—0
The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models—0
Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities—0
German Text Simplification: Finetuning Large Language Models with Semi-Synthetic DataCode0
MedTSS: transforming abstractive summarization of scientific articles with linguistic analysis and concept reinforcementCode0
InfoLossQA: Characterizing and Recovering Information Loss in Text SimplificationCode0
Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement LearningCode0
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading ComprehensionCode0
Data and Approaches for German Text simplification -- towards an Accessibility-enhanced Communication—0
A Novel Dataset for Financial Education Text Simplification in Spanish—0
Exploring Automatic Text Simplification of German Narrative DocumentsCode0
BLESS: Benchmarking Large Language Models on Sentence SimplificationCode0
Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence TasksCode0
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search DecodingCode0
BibRank: Automatic Keyphrase Extraction Platform Using~MetadataCode0
Automatic and Human-AI Interactive Text Generation—0
LC-Score: Reference-less estimation of Text Comprehension Difficulty—0
Is it Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models—0
Investigating Large Language Models and Control Mechanisms to Improve Text Readability of Biomedical AbstractsCode0
RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to SpansCode0
ARTIST: ARTificial Intelligence for Simplified TextCode0
A User-Centered Evaluation of Spanish Text SimplificationCode0
Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions—0
Metric-Based In-context Learning: A Case Study in Text SimplificationCode0
Text Simplification of Scientific Texts for Non-Expert Readers—0
Controlled Text Generation with Hidden Representation TransformationsCode0
Controlling Pre-trained Language Models for Grade-Specific Text Simplification—0
Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA—0
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All datasetsTurkCorpusASSETNewselaPWKP / WikiSmallDEplain-APA-docDEplain-web-docEurekaAlertDEplain-APA-sentDEplain-web-sentWikiLargeFRWiki-Auto + Turk

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-175B (6 SARI-selected examples, high/low)SARI (EASSE>=0.2.1)43.46—Unverified
2MUSS (BART+ACCESS Supervised)SARI (EASSE>=0.2.1)42.53—Unverified
3Control Prefixes (BART)SARI (EASSE>=0.2.1)42.32—Unverified
4TSTSARI (EASSE>=0.2.1)41.46—Unverified
5ACCESSSARI (EASSE>=0.2.1)41.38—Unverified
6MUSS (BART+ACCESS Unsupervised)SARI (EASSE>=0.2.1)40.85—Unverified
7DMASS-DCSSSARI (EASSE>=0.2.1)40.45—Unverified
8SBMT-SARISARI (EASSE>=0.2.1)39.56—Unverified
9EditNTSSARI (EASSE>=0.2.1)38.22—Unverified
10PBMT-RSARI (EASSE>=0.2.1)38.04—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-175B (15 SARI-selected examples, random ordering)BLEU73.92—Unverified
2MUSS (BART+ACCESS Supervised)BLEU72.98—Unverified
3Control Prefixes (BART)SARI (EASSE>=0.2.1)43.58—Unverified
4TSTSARI (EASSE>=0.2.1)43.21—Unverified
5MUSS (BART+ACCESS Unsupervised)SARI (EASSE>=0.2.1)42.65—Unverified
6ACCESSSARI (EASSE>=0.2.1)40.13—Unverified
7DMASS-DCSSSARI (EASSE>=0.2.1)38.67—Unverified
8Dress-LSSARI (EASSE>=0.2.1)36.59—Unverified
9UNTS (Unsupervised)SARI (EASSE>=0.2.1)35.19—Unverified
10PBMT-RSARI (EASSE>=0.2.1)34.63—Unverified
#ModelMetricClaimedVerifiedStatus
1CRF Alignment + TransformerSARI36.6—Unverified
2Pointer + Multi-task Entailment and Paraphrase GenerationSARI33.22—Unverified
3EditNTSSARI31.41—Unverified
4S2S-Cluster-FASARI30.73—Unverified
5Edit-Unsup-TSSARI30.44—Unverified
6NSELSTM-SSARI29.58—Unverified
7NSELSTM-BSARI27.42—Unverified
8DRESSSARI27.37—Unverified
9DMASS + DCSSSARI27.28—Unverified
10DRESS-LSSARI26.63—Unverified
#ModelMetricClaimedVerifiedStatus
1NSELSTM-BBLEU53.42—Unverified
2TSTSARI44.67—Unverified
3UNSUPBLEU38.47—Unverified
4DRESS-LSBLEU36.32—Unverified
5DRESSBLEU34.53—Unverified
6EditNTSSARI32.35—Unverified
7NSELSTM-SBLEU29.72—Unverified
8Pointer + Multi-task Entailment and Paraphrase GenerationBLEU27.23—Unverified
#ModelMetricClaimedVerifiedStatus
1long-mBART (trained on DEplain-APA-doc)SARI (EASSE>=0.2.1)44.56—Unverified
2long-mBART (trained on DEplain-APA-doc & DEplain-web-doc)SARI (EASSE>=0.2.1)42.86—Unverified
3long-mBART (trained on DEplain-web-doc)SARI (EASSE>=0.2.1)35.02—Unverified
#ModelMetricClaimedVerifiedStatus
1long-mBART (trained on DEplain-APA-doc & DEplain-web-doc)SARI (EASSE>=0.2.1)49.75—Unverified
2long-mBART (trained on DEplain-web-doc)SARI (EASSE>=0.2.1)49.58—Unverified
3long-mBART (trained on DEplain-APA-doc)SARI (EASSE>=0.2.1)43.09—Unverified
#ModelMetricClaimedVerifiedStatus
1SATSSARI40.83—Unverified
2MedTSS-BART (Without Training)Rouge135.17—Unverified
3HTSSRouge121.94—Unverified
#ModelMetricClaimedVerifiedStatus
1mBART (trained on DEplain-APA-sent & DEplain-web-sent)SARI (EASSE>=0.2.1)34.9—Unverified
2mBART (trained on DEplain-APA-sent)SARI (EASSE>=0.2.1)34.82—Unverified
#ModelMetricClaimedVerifiedStatus
1mBART (trained on DEplain-APA-sent & DEplain-web-sent)SARI (EASSE>=0.2.1)34.83—Unverified
2mBART (trained on DEplain-APA-sent)SARI (EASSE>=0.2.1)30.87—Unverified
#ModelMetricClaimedVerifiedStatus
1mT5 (fine-tuned on MULTI-SIM)SARI39.23—Unverified
2LSTMSARI39.05—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-490.81—Unverified