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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 401–450 of 468 papers

TitleStatusHype
Automatic and Human-AI Interactive Text Generation—0
Automatic Assessment of Conceptual Text Complexity Using Knowledge Graphs—0
Automatic Construction of Large Readability Corpora—0
Automatic Identification of AltLexes using Monolingual Parallel Corpora—0
A Preliminary Study of Statistically Predictive Syntactic Complexity Features and Manual Simplifications in Basque—0
Automatic Lexical Simplification for Turkish—0
Automatic Sentence Simplification in Low Resource Settings for Urdu—0
Automatic Text Simplification For Handling Intellectual Property (The Case of Multiple Patent Claims)—0
Automatic Text Simplification for Social Good: Progress and Challenges—0
Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies—0
Automatic Text Simplification of News Articles in the Context of Public Broadcasting—0
An Unsupervised System for Parallel Corpus Filtering—0
Benchmarking Data-driven Automatic Text Simplification for German—0
Simple or Complex? Assessing the readability of Basque Texts—0
Simple PPDB: A Paraphrase Database for Simplification—0
Simple-QE: Better Automatic Quality Estimation for Text Simplification—0
Unsupervised Simplification of Legal Texts—0
Book Review: Automatic Text Simplification by Horacio Saggion—0
Break it Down for Me: A Study in Automated Lyric Annotation—0
Building a German/Simple German Parallel Corpus for Automatic Text Simplification—0
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings—0
Building Readability Lexicons with Unannotated Corpora—0
CAMB at CWI Shared Task 2018: Complex Word Identification with Ensemble-Based Voting—0
A Novel Dataset for Financial Education Text Simplification in Spanish—0
Can Numerical Expressions Be Simpler? Implementation and Demostration of a Numerical Simplification System for Spanish—0
Can Spanish Be Simpler? LexSiS: Lexical Simplification for Spanish—0
Can Text Simplification Help Machine Translation?—0
Cartography of Natural Language Processing for Social Good (NLP4SG): Searching for Definitions, Statistics and White Spots—0
CASSA: A Context-Aware Synonym Simplification Algorithm—0
Simple, readable sub-sentences—0
CEFR-based Lexical Simplification Dataset—0
An Open Corpus of Everyday Documents for Simplification Tasks—0
ChatGPT as a Text Simplification Tool to Remove Bias—0
CLaC @ QATS: Quality Assessment for Text Simplification—0
Classifier-Based Text Simplification for Improved Machine Translation—0
CLCM - A Linguistic Resource for Effective Simplification of Instructions in the Crisis Management Domain and its Evaluations—0
CLEAR -- Simple Corpus for Medical French—0
CoastalCPH at SemEval-2016 Task 11: The importance of designing your Neural Networks right—0
CoCo: A Tool for Automatically Assessing Conceptual Complexity of Texts—0
A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification—0
UOW-SHEF: SimpLex -- Lexical Simplicity Ranking based on Contextual and Psycholinguistic Features—0
Collecting and Exploring Everyday Language for Predicting Psycholinguistic Properties of Words—0
Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilities—0
Combining Paraphrase Pre-trained Model and Controllable Rules for Unsupervised Sentence Simplification—0
CombiNMT: An Exploration into Neural Text Simplification Models—0
Comparing human versus automatic feature extraction for fine-grained elementary readability assessment—0
Simplification automatique de texte dans un contexte de faibles ressources (Automatic Text Simplification : Approaching the Problem in Low Resource Settings for French)—0
Simplification automatique de textes biomédicaux en français: lorsque des données précises de petite taille aident (French Biomedical Text Simplification : When Small and Precise Helps )—0
Simplification de textes : un \'etat de l'art (Text simplification (State of the art) This paper presents the state of the art on text simplification, in particular the two main types of approaches, namely rule-based approaches and statistical approaches (or data-driven))—0
Complex Word Identification Based on Frequency in a Learner Corpus—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