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 301–350 of 468 papers

TitleStatusHype
One Size Does Not Fit All: The Case for Personalised Word Complexity Models—0
One Step Closer to Automatic Evaluation of Text Simplification Systems—0
OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification—0
On the Ethical Considerations of Text Simplification—0
The Swedish Simplification Toolkit: – Designed with Target Audiences in Mind—0
Vicinity-Driven Paragraph and Sentence Alignment for Comparable Corpora—0
Towards Automatic Lexical Simplification in Spanish: An Empirical Study—0
Out in the Open: Finding and Categorising Errors in the Lexical Simplification Pipeline—0
PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification—0
Par4Sim -- Adaptive Paraphrasing for Text Simplification—0
Parallel Sentence Compression—0
Parallel Sentence Retrieval From Comparable Corpora for Biomedical Text Simplification—0
Towards more patient friendly clinical notes through language models and ontologies—0
ParaQuery: Making Sense of Paraphrase Collections—0
Towards Readability-Controlled Machine Translation of COVID-19 Texts—0
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
Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain—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
A flexible language learning platform based on language resources and web services—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
Traditional Readability Formulas Compared for English—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
A Corpus for Automatic Readability Assessment and Text Simplification of German—0
Readability Assessment of Translated Texts—0
Translating from Original to Simplified Sentences using Moses: When does it Actually Work?—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
A Comparison of Techniques to Automatically Identify Complex Words.—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
Vision and Feature Norms: Improving automatic feature norm learning through cross-modal maps—0
Understanding the Lexical Simplification Needs of Non-Native Speakers of English—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
ReSyf: a French lexicon with ranked synonyms—0
A Detailed Evaluation of Neural Sequence-to-Sequence Models for In-domain and Cross-domain Text Simplification—0
ReXplain: Translating Radiology into Patient-Friendly Video Reports—0
Unsupervised Method for the Acquisition of General Language Paraphrases for Medical Compounds—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