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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 401–450 of 468 papers

TitleStatusHype
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical ResourcesCode0
ALTER: Auxiliary Text Rewriting Tool for Natural Language GenerationCode0
Exploiting Summarization Data to Help Text SimplificationCode0
Exploring Automatic Text Simplification of German Narrative DocumentsCode0
Exploring German Multi-Level Text SimplificationCode0
SiTSE: Sinhala Text Simplification Dataset and EvaluationCode0
Exploring Neural Text Simplification ModelsCode0
Unsupervised Sentence Simplification Using Deep SemanticsCode0
A New Dataset and Efficient Baselines for Document-level Text Simplification in GermanCode0
A User-Centered Evaluation of Spanish Text SimplificationCode0
FASTSUBS: An Efficient and Exact Procedure for Finding the Most Likely Lexical Substitutes Based on an N-gram Language ModelCode0
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence FusionCode0
Text Simplification for Comprehension-based Question-AnsweringCode0
Cognitive Simplification Operations Improve Text SimplificationCode0
Detecting Multiword Expression Type Helps Lexical Complexity AssessmentCode0
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical TextsCode0
Finding Spoiler Bias in Tweets by Zero-shot Learning and Knowledge Distilling from Neural Text SimplificationCode0
CATS: A Tool for Customized Alignment of Text Simplification CorporaCode0
Medical Text Simplification: Optimizing for Readability with Unlikelihood Training and Reranked Beam Search DecodingCode0
Semantic Structural Decomposition for Neural Machine TranslationCode0
BLEU is Not Suitable for the Evaluation of Text SimplificationCode0
MedTSS: transforming abstractive summarization of scientific articles with linguistic analysis and concept reinforcementCode0
Semantic Structural Evaluation for Text SimplificationCode0
Prompt-based Learning for Text Readability AssessmentCode0
Metric-Based In-context Learning: A Case Study in Text SimplificationCode0
German Text Simplification: Finetuning Large Language Models with Semi-Synthetic DataCode0
Health Text Simplification: An Annotated Corpus for Digestive Cancer Education and Novel Strategies for Reinforcement LearningCode0
Aligning Sentence Simplification with ESL Learner's Proficiency for Language AcquisitionCode0
Mitigating Data Scarcity for Large Language ModelsCode0
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP TasksCode0
The (Un)Suitability of Automatic Evaluation Metrics for Text SimplificationCode0
HTSS: A Novel Hybrid Text Summarisation and Simplification ArchitectureCode0
Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report SimplificationCode0
Simpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?Code0
Word Embedding Approach for Synonym Extraction of Multi-Word TermsCode0
Multilingual Simplification of Medical TextsCode0
BLESS: Benchmarking Large Language Models on Sentence SimplificationCode0
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase GenerationCode0
SimpLex: a lexical text simplification architectureCode0
Deep Copycat Networks for Text-to-Text GenerationCode0
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching SummarizationCode0
Readability-based Sentence Ranking for Evaluating Text SimplificationCode0
BibRank: Automatic Keyphrase Extraction Platform Using~MetadataCode0
InfoLossQA: Characterizing and Recovering Information Loss in Text SimplificationCode0
Inherent Biases in Reference based Evaluation for Grammatical Error Correction and Text SimplificationCode0
Inherent Biases in Reference-based Evaluation for Grammatical Error CorrectionCode0
Unsupervised Sentence Simplification via Dependency ParsingCode0
Integrating Transformer and Paraphrase Rules for Sentence SimplificationCode0
Investigating Text Simplification EvaluationCode0
BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScoreCode0
Show:102550
← PrevPage 9 of 10Next →
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