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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 151–200 of 468 papers

TitleStatusHype
Discourse Structure and Computation: Past, Present and Future—0
A model to predict lexical complexity and to grade words (Un mod\`ele pour pr\'edire la complexit\'e lexicale et graduer les mots) [in French]—0
An Open Corpus of Everyday Documents for Simplification Tasks—0
DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German—0
DisSim-FinBERT: Text Simplification for Core Message Extraction in Complex Financial Texts—0
Divide-and-Conquer Text Simplification by Scalable Data Enhancement—0
Book Review: Automatic Text Simplification by Horacio Saggion—0
DeModify: A Dataset for Analyzing Contextual Constraints on Modifier Deletion—0
Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification—0
Break it Down for Me: A Study in Automated Lyric Annotation—0
DSim, a Danish Parallel Corpus for Text Simplification—0
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification—0
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings—0
Easy-read Documents as a Gold Standard for Evaluation of Text Simplification Output—0
Building Readability Lexicons with Unannotated Corpora—0
Elaborative Simplification as Implicit Questions Under Discussion—0
Deep-Syntactic Parsing—0
Enabling text readability awareness during the micro planning phase of NLG applications—0
Automatic Text Simplification For Handling Intellectual Property (The Case of Multiple Patent Claims)—0
Acquisition of Syntactic Simplification Rules for French—0
Can Numerical Expressions Be Simpler? Implementation and Demostration of a Numerical Simplification System for Spanish—0
Evaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation—0
Can Spanish Be Simpler? LexSiS: Lexical Simplification for Spanish—0
Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability—0
Deep Learning Approaches to Text Production—0
Deep Learning Approaches to Lexical Simplification: A Survey—0
Evaluation of Automatic Text Simplification: Where are we now, where should we go from here—0
Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification—0
Event-Centered Simplification of News Stories—0
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen—0
Explicit Retrofitting of Distributional Word Vectors—0
A Multilingual Simplified Language News Corpus—0
Automatic Sentence Simplification in Low Resource Settings for Urdu—0
A Sentence Simplification System for Improving Relation Extraction—0
A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification—0
Exploring Large Language Models to generate Easy to Read content—0
Aligning Texts and Knowledge Bases with Semantic Sentence Simplification—0
Exploring the effects of Sentence Simplification on Hindi to English Machine Translation System—0
Exploring Verb Frames for Sentence Simplification in Hindi—0
CLaC @ QATS: Quality Assessment for Text Simplification—0
Automatic Lexical Simplification for Turkish—0
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings—0
Few-shot Controllable Style Transfer for Low-Resource Multilinugal Settings—0
Data-Driven Text Simplification—0
Findings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification—0
CLEAR -- Simple Corpus for Medical French—0
FLELex: a graded lexical resource for French foreign learners—0
Flesch-Kincaid is Not a Text Simplification Evaluation Metric—0
Framework for the Analysis of Simplified Texts Taking Discourse into Account: the Basque Causal Relations as Case Study—0
Annotating Question Decomposition on Complex Medical Questions—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