SOTAVerified

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 201–250 of 468 papers

TitleStatusHype
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification—0
HTSS: A Novel Hybrid Text Summarisation and Simplification ArchitectureCode0
Developing a Monolingual Sentence Simplification Corpus for Urdu—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
Simplification automatique de texte dans un contexte de faibles ressources (Automatic Text Simplification : Approaching the Problem in Low Resource Settings for French)—0
Detecting Multiword Expression Type Helps Lexical Complexity AssessmentCode0
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen—0
CombiNMT: An Exploration into Neural Text Simplification Models—0
A multi-lingual and cross-domain analysis of features for text simplification—0
Coreference-Based Text Simplification—0
CoCo: A Tool for Automatically Assessing Conceptual Complexity of Texts—0
Text Simplification to Help Individuals with Low Vision Read More Fluently—0
SimplifyUR: Unsupervised Lexical Text Simplification for Urdu—0
Alector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers—0
Benchmarking Data-driven Automatic Text Simplification for German—0
Identifying Abstract and Concrete Words in French to Better Address Reading Difficulties—0
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders—0
CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale DataCode0
Discourse Level Factors for Sentence Deletion in Text SimplificationCode0
Deep Copycat Networks for Text-to-Text GenerationCode0
Controllable Sentence SimplificationCode0
DisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German—0
MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions—0
A Corpus for Automatic Readability Assessment and Text Simplification of German—0
ALTER: Auxiliary Text Rewriting Tool for Natural Language GenerationCode0
The Impact of Rule-Based Text Generation on the Quality of Abstractive Summaries—0
Parallel Sentence Retrieval From Comparable Corpora for Biomedical Text Simplification—0
Automated Text Simplification as a Preprocessing Step for Machine Translation into an Under-resourced Language—0
Cross-Sentence Transformations in Text Simplification—0
Metaphors in Text Simplification: To change or not to change, that is the question—0
Simplification-induced transformations: typology and some characteristics—0
Controllable Text Simplification with Lexical Constraint Loss—0
Complex Word Identification as a Sequence Labelling TaskCode0
Negative Lexically Constrained Decoding for Paraphrase Generation—0
Neural Text Simplification of Clinical Letters with a Domain Specific Phrase TableCode0
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit EditingCode0
Neural Text Simplification in Low-Resource Conditions Using Weak Supervision—0
Subjective Assessment of Text Complexity: A Dataset for German Language—0
Generating Animations from Screenplays—0
Complexity-Weighted Loss and Diverse Reranking for Sentence SimplificationCode0
Neural Versus Non-Neural Text Simplification: A Case Study—0
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence FusionCode0
Reference-less Quality Estimation of Text Simplification SystemsCode0
Book Review: Automatic Text Simplification by Horacio Saggion—0
CLEAR -- Simple Corpus for Medical French—0
Sentence Packaging in Text Generation from Semantic Graphs as a Community Detection Problem—0
The Interface Between Readability and Automatic Text Simplification—0
Improving Machine Translation of English Relative Clauses with Automatic Text Simplification—0
Assisted Lexical Simplification for French Native Children with Reading Difficulties—0
Integrating Transformer and Paraphrase Rules for Sentence SimplificationCode0
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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