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 351–400 of 468 papers

TitleStatusHype
Phrase-Level Metaphor Identification Using Distributed Representations of Word Meaning—0
Pomona at SemEval-2016 Task 11: Predicting Word Complexity Based on Corpus Frequency—0
Predicting Lexical Complexity in English Texts: The Complex 2.0 Dataset—0
Predicting misreadings from gaze in children with reading difficulties—0
Predicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure—0
Predicting sentential semantic compatibility for aggregation in text-to-text generation—0
Problems in Current Text Simplification Research: New Data Can Help—0
Proceedings of the Workshop on Automatic Text Simplification - Methods and Applications in the Multilingual Society (ATS-MA 2014)—0
Progressive Document-level Text Simplification via Large Language Models—0
Pseudo-Labels Are All You Need—0
(Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification—0
Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking—0
Quality Estimation for Language Output Applications—0
Quantifying sentence complexity based on eye-tracking measures—0
Readability Assessment of Translated Texts—0
Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese—0
Readability Indices for Automatic Evaluation of Text Simplification Systems: A Feasibility Study for Spanish—0
Reading metrics for estimating task efficiency with MT output—0
Reducing lexical complexity as a tool to increase text accessibility for children with dyslexia—0
Reducing Sequence Length by Predicting Edit Operations with Large Language Models—0
Relative clause extraction for syntactic simplification—0
Reliable Lexical Simplification for Non-Native Speakers—0
Resource for Error Analysis in Text Simplification: New Taxonomy and Test Collection—0
Discriminating between Lexico-Semantic Relations with the Specialization Tensor ModelCode0
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text PairsCode0
Open corpora and toolkit for assessing text readability in FrenchCode0
Optimizing Statistical Machine Translation for Text SimplificationCode0
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal TransportCode0
Discourse Level Factors for Sentence Deletion in Text SimplificationCode0
Teaching the Pre-trained Model to Generate Simple Texts for Text SimplificationCode0
Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading ComprehensionCode0
Seq2Edits: Sequence Transduction Using Span-level Edit OperationsCode0
CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale DataCode0
EASSE-DE: Easier Automatic Sentence Simplification Evaluation for GermanCode0
Sequence to sequence pretraining for a less-resourced Slovenian languageCode0
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit EditingCode0
A Semantic Relevance Based Neural Network for Text Summarization and Text SimplificationCode0
Elaborative Simplification: Content Addition and Explanation Generation in Text SimplificationCode0
ARTIST: ARTificial Intelligence for Simplified TextCode0
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked DataCode0
Estimating Linguistic Complexity for Science TextsCode0
ETPC - A Paraphrase Identification Corpus Annotated with Extended Paraphrase Typology and NegationCode0
Parallel Text Alignment and Monolingual Parallel Corpus Creation from Philosophical Texts for Text SimplificationCode0
Evaluating Factuality in Text SimplificationCode0
RISC: Generating Realistic Synthetic Bilingual Insurance ContractCode0
Patient-friendly Clinical Notes: Towards a new Text Simplification DatasetCode0
Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence TasksCode0
APPLS: Evaluating Evaluation Metrics for Plain Language SummarizationCode0
Text Revision by On-the-Fly Representation OptimizationCode0
Lossless Acceleration for Seq2seq Generation with Aggressive DecodingCode0
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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