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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
Sentence Simplification with Memory-Augmented Neural Networks—0
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase GenerationCode0
Learning How to Simplify From Explicit Labeling of Complex-Simplified Text PairsCode0
MUSST: A Multilingual Syntactic Simplification Tool—0
Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification—0
A Semantic Relevance Based Neural Network for Text Summarization and Text SimplificationCode0
Using Gaze to Predict Text Readability—0
Combining Multiple Corpora for Readability Assessment for People with Cognitive Disabilities—0
From Shakespeare to Twitter: What are Language Styles all about?—0
Simplifying metaphorical language for young readers: A corpus study on news text—0
Framework for the Analysis of Simplified Texts Taking Discourse into Account: the Basque Causal Relations as Case Study—0
Splitting Complex English Sentences—0
An Adaptable Lexical Simplification Architecture for Major Ibero-Romance Languages—0
CLaC @ QATS: Quality Assessment for Text Simplification—0
Break it Down for Me: A Study in Automated Lyric Annotation—0
Automatic Identification of AltLexes using Monolingual Parallel Corpora—0
Exploring Neural Text Simplification ModelsCode0
Sentence Alignment Methods for Improving Text Simplification Systems—0
A Lightweight Regression Method to Infer Psycholinguistic Properties for Brazilian Portuguese—0
Services for text simplification and analysis—0
A Semantic QA-Based Approach for Text Summarization Evaluation—0
Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking—0
Sentence Simplification with Deep Reinforcement LearningCode0
A Sentence Simplification System for Improving Relation Extraction—0
Simplifying the Bible and Wikipedia Using Statistical Machine Translation—0
LexSubNC: A Dataset of Lexical Substitution for Nominal Compounds—0
Neural Machine Translation from Simplified Translations—0
Vicinity-Driven Paragraph and Sentence Alignment for Comparable Corpora—0
Quality Estimation for Language Output Applications—0
Understanding the Lexical Simplification Needs of Non-Native Speakers of English—0
A Customizable Editor for Text Simplification—0
Predicting sentential semantic compatibility for aggregation in text-to-text generation—0
Parallel Sentence Compression—0
Building a Monolingual Parallel Corpus for Text Simplification Using Sentence Similarity Based on Alignment between Word Embeddings—0
Collecting and Exploring Everyday Language for Predicting Psycholinguistic Properties of Words—0
Anita: An Intelligent Text Adaptation Tool—0
Quantifying sentence complexity based on eye-tracking measures—0
Similarity-Based Alignment of Monolingual Corpora for Text Simplification Purposes—0
Automatic Construction of Large Readability Corpora—0
Reducing lexical complexity as a tool to increase text accessibility for children with dyslexia—0
A Preliminary Study of Statistically Predictive Syntactic Complexity Features and Manual Simplifications in Basque—0
Joint Copying and Restricted Generation for Paraphrase—0
Unsupervised Resolution of Acronyms and Abbreviations in Nursing Notes Using Document-Level Context Models—0
PaCCSS-IT: A Parallel Corpus of Complex-Simple Sentences for Automatic Text Simplification—0
An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification—0
Summarising News Stories for Children—0
Enabling text readability awareness during the micro planning phase of NLG applications—0
Aligning Texts and Knowledge Bases with Semantic Sentence Simplification—0
SimpleNets: Quality Estimation with Resource-Light Neural Networks—0
Learning Paraphrasing for Multiword Expressions—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