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 1–50 of 468 papers

TitleStatusHype
TextBox 2.0: A Text Generation Library with Pre-trained Language ModelsCode3
Control Prefixes for Parameter-Efficient Text GenerationCode1
Automatic Input Rewriting Improves Translation with Large Language ModelsCode1
TESS: Text-to-Text Self-Conditioned Simplex DiffusionCode1
mEdIT: Multilingual Text Editing via Instruction TuningCode1
DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document SimplificationCode1
Can Knowledge Graphs Simplify Text?Code1
Improving Iterative Text Revision by Learning Where to Edit from Other Revision TasksCode1
Ascle: A Python Natural Language Processing Toolkit for Medical Text GenerationCode1
SWiPE: A Dataset for Document-Level Simplification of Wikipedia PagesCode1
Text Simplification by TaggingCode1
MUSS: Multilingual Unsupervised Sentence Simplification by Mining ParaphrasesCode1
Klexikon: A German Dataset for Joint Summarization and SimplificationCode1
Document-Level Text Simplification: Dataset, Criteria and BaselineCode1
Controllable Sentence Simplification with a Unified Text-to-Text Transfer TransformerCode1
Context-Preserving Text SimplificationCode1
DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and GermanCode1
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in RussianCode1
kNN-BOX: A Unified Framework for Nearest Neighbor GenerationCode1
MCTS: A Multi-Reference Chinese Text Simplification DatasetCode1
Neural CRF Model for Sentence Alignment in Text SimplificationCode1
Revisiting non-English Text Simplification: A Unified Multilingual BenchmarkCode1
TS-ANNO: An Annotation Tool to Build, Annotate and Evaluate Text Simplification CorporaCode1
Transforming Complex Sentences into a Semantic HierarchyCode1
Predicting Text Readability from Scrolling InteractionsCode1
Neural semi-Markov CRF for Monolingual Word AlignmentCode1
LENS: A Learnable Evaluation Metric for Text SimplificationCode1
Benchmarking large language models for biomedical natural language processing applications and recommendationsCode1
Keep it Simple: Unsupervised Simplification of Multi-Paragraph TextCode1
Felix: Flexible Text Editing Through Tagging and InsertionCode1
Iterative Edit-Based Unsupervised Sentence SimplificationCode1
AutoMeTS: The Autocomplete for Medical Text SimplificationCode1
CEFR-Based Sentence Difficulty Annotation and AssessmentCode1
CoEdIT: Text Editing by Task-Specific Instruction TuningCode1
An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models—0
An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification—0
Aligning Sentences from Standard Wikipedia to Simple Wikipedia—0
A Lightweight Regression Method to Infer Psycholinguistic Properties for Brazilian Portuguese—0
An Evaluation of Binary Comparative Lexical Complexity Models—0
A Deeper Exploration of the Standard PB-SMT Approach to Text Simplification and its Evaluation—0
A Corpus for Automatic Readability Assessment and Text Simplification of German—0
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification—0
An Analysis of Crowdsourced Text Simplifications—0
A Leveled Reading Corpus of Modern Standard Arabic—0
An analysis of a French as a Foreign Language Corpus for Readability Assessment—0
Assessing the Readability of Sentences: Which Corpora and Features?—0
Assessing Conformance of Manually Simplified Corpora with User Requirements: the Case of Autistic Readers—0
Analysing Zero-Shot Readability-Controlled Sentence Simplification—0
Assessing the relative reading level of sentence pairs for text simplification—0
Alector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers—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