Papers Text Simplification
“Text Simplification” 태그가 달린 논문 505편 · 필터 해제
MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases
Progress in sentence simplification has been hindered by a lack of labeled parallel simplification data, particularly in languages other than English. We introduce MUSS, a Multilingual Unsupervised Sentence Simplificatio…
Parallel Corpus MiningSentenceText SimplificationText Simplification to Help Individuals with Low Vision Read More Fluently
The objective of this work is to introduce text simplification as a potential reading aid to help improve the poor reading performance experienced by visually impaired individuals. As a first step, we explore what makes …
SentenceText SimplificationIdentifying Abstract and Concrete Words in French to Better Address Reading Difficulties
Literature in psycholinguistics and neurosciences has showed that abstract and concrete concepts are perceived differently by our brain, and that the abstractness of a word can cause difficulties in reading. In order to …
Text SimplificationBenchmarking Data-driven Automatic Text Simplification for German
Automatic text simplification is an active research area, and there are first systems for English, Spanish, Portuguese, and Italian. For German, no data-driven approach exists to this date, due to a lack of training data…
BenchmarkingMachine TranslationSentenceText Simplification+1A multi-lingual and cross-domain analysis of features for text simplification
In text simplification and readability research, several features have been proposed to estimate or simplify a complex text, e.g., readability scores, sentence length, or proportion of POS tags. These features are howeve…
POSSentenceText SimplificationCoreference-Based Text Simplification
Text simplification aims at adapting documents to make them easier to read by a given audience. Usually, simplification systems consider only lexical and syntactic levels, and, moreover, are often evaluated at the senten…
coreference-resolutionCoreference ResolutionSentenceText SimplificationAlector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers
In this paper, we present a new parallel corpus addressed to researchers, teachers, and speech therapists interested in text simplification as a means of alleviating difficulties in children learning to read. The corpus …
Text SimplificationSimplifyUR: Unsupervised Lexical Text Simplification for Urdu
This paper presents the first attempt at Automatic Text Simplification (ATS) for Urdu, the language of 170 million people worldwide. Being a low-resource language in terms of standard linguistic resources, recent text si…
Lexical SimplificationText SimplificationWord EmbeddingsCombiNMT: An Exploration into Neural Text Simplification Models
This work presents a replication study of Exploring Neural Text Simplification Models (Nisioi et al., 2017). We were able to successfully replicate and extend the methods presented in the original paper. Alongside the re…
Text SimplificationCoCo: A Tool for Automatically Assessing Conceptual Complexity of Texts
Traditional text complexity assessment usually takes into account only syntactic and lexical text complexity. The task of automatic assessment of conceptual text complexity, important for maintaining reader{'}s interest …
Text SimplificationSemi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders
Text simplification (TS) rephrases long sentences into simplified variants while preserving inherent semantics. Traditional sequence-to-sequence models heavily rely on the quantity and quality of parallel sentences, whic…
DenoisingLanguage ModelingLanguage ModellingMachine Translation+4Felix: Flexible Text Editing Through Tagging and Insertion
We present Felix --- a flexible text-editing approach for generation, designed to derive the maximum benefit from the ideas of decoding with bi-directional contexts and self-supervised pre-training. In contrast to conven…
Automatic Post-EditingLanguage ModelingLanguage ModellingMachine Translation+4CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale Data
Predicting which words are considered hard to understand for a given target population is a vital step in many NLP applications such as text simplification. This task is commonly referred to as Complex Word Identificatio…
Binary ClassificationComplex Word IdentificationLexical Complexity PredictionText SimplificationDiscourse Level Factors for Sentence Deletion in Text Simplification
This paper presents a data-driven study focusing on analyzing and predicting sentence deletion -- a prevalent but understudied phenomenon in document simplification -- on a large English text simplification corpus. We in…
SentenceText SimplificationDeep Copycat Networks for Text-to-Text Generation
Most text-to-text generation tasks, for example text summarisation and text simplification, require copying words from the input to the output. We introduce Copycat, a transformer-based pointer network for such tasks whi…
Automatic Post-EditingMachine TranslationText GenerationText Simplification+1Controllable Sentence Simplification
Text simplification aims at making a text easier to read and understand by simplifying grammar and structure while keeping the underlying information identical. It is often considered an all-purpose generic task where th…
SentenceText SimplificationDisSim: A Discourse-Aware Syntactic Text Simplification Framework for English and German
We introduce DisSim, a discourse-aware sentence splitting framework for English and German whose goal is to transform syntactically complex sentences into an intermediate representation that presents a simple and more re…
SentenceText SimplificationDisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German
We introduce DisSim, a discourse-aware sentence splitting framework for English and German whose goal is to transform syntactically complex sentences into an intermediate representation that presents a simple and more re…
SentenceText SimplificationMinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions
We compiled a new sentence splitting corpus that is composed of 203K pairs of aligned complex source and simplified target sentences. Contrary to previously proposed text simplification corpora, which contain only a smal…
SentenceText SimplificationA Corpus for Automatic Readability Assessment and Text Simplification of German
In this paper, we present a corpus for use in automatic readability assessment and automatic text simplification of German. The corpus is compiled from web sources and consists of approximately 211,000 sentences. As a no…
BIG-bench Machine LearningText Simplification