Papers Text Simplification
“Text Simplification” 태그가 달린 논문 505편 · 필터 해제
Can Knowledge Graphs Simplify Text?
Knowledge Graph (KG)-to-Text Generation has seen recent improvements in generating fluent and informative sentences which describe a given KG. As KGs are widespread across multiple domains and contain important entity-re…
DescriptiveKG-to-Text GenerationKnowledge GraphsText Generation+1Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions
Sentences that present a complex syntax act as a major stumbling block for downstream Natural Language Processing applications whose predictive quality deteriorates with sentence length and complexity. The task of Text S…
SentenceText SimplificationMetric-Based In-context Learning: A Case Study in Text Simplification
In-context learning (ICL) for large language models has proven to be a powerful approach for many natural language processing tasks. However, determining the best method to select examples for ICL is nontrivial as the re…
In-Context LearningText SimplificationText Simplification of Scientific Texts for Non-Expert Readers
Reading levels are highly individual and can depend on a text's language, a person's cognitive abilities, or knowledge on a topic. Text simplification is the task of rephrasing a text to better cater to the abilities of …
Text SimplificationMCTS: A Multi-Reference Chinese Text Simplification Dataset
Text simplification aims to make the text easier to understand by applying rewriting transformations. There has been very little research on Chinese text simplification for a long time. The lack of generic evaluation dat…
Machine TranslationText SimplificationControlled Text Generation with Hidden Representation Transformations
We propose CHRT (Control Hidden Representation Transformation) - a controlled language generation framework that steers large language models to generate text pertaining to certain attributes (such as toxicity). CHRT gai…
AttributeContrastive LearningText GenerationText SimplificationSWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages
Text simplification research has mostly focused on sentence-level simplification, even though many desirable edits - such as adding relevant background information or reordering content - may require document-level conte…
ArticlesSentenceText SimplificationDEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification
Text simplification is an intralingual translation task in which documents, or sentences of a complex source text are simplified for a target audience. The success of automatic text simplification systems is highly depen…
2kSentenceText SimplificationRevisiting non-English Text Simplification: A Unified Multilingual Benchmark
Recent advancements in high-quality, large-scale English resources have pushed the frontier of English Automatic Text Simplification (ATS) research. However, less work has been done on multilingual text simplification du…
Cross-Lingual TransferSentenceText SimplificationZero-Shot Cross-Lingual TransferControlling Pre-trained Language Models for Grade-Specific Text Simplification
Text simplification (TS) systems rewrite text to make it more readable while preserving its content. However, what makes a text easy to read depends on the intended readers. Recent work has shown that pre-trained languag…
Text SimplificationAPPLS: Evaluating Evaluation Metrics for Plain Language Summarization
While there has been significant development of models for Plain Language Summarization (PLS), evaluation remains a challenge. PLS lacks a dedicated assessment metric, and the suitability of text generation evaluation me…
InformativenessLanguage ModellingText GenerationText SimplificationDancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA
Large language models (e.g., GPT-4) are uniquely capable of producing highly rated text simplification, yet current human evaluation methods fail to provide a clear understanding of systems' specific strengths and weakne…
SentenceText SimplificationLanguage Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training
Automatic text simplification systems help to reduce textual information barriers on the internet. However, for languages other than English, only few parallel data to train these systems exists. We propose a two-step ap…
Text SimplificationTeaching the Pre-trained Model to Generate Simple Texts for Text Simplification
Randomly masking text spans in ordinary texts in the pre-training stage hardly allows models to acquire the ability to generate simple texts. It can hurt the performance of pre-trained models on text simplification tasks…
Lexical SimplificationSentenceText SimplificationMultilingual Simplification of Medical Texts
Automated text simplification aims to produce simple versions of complex texts. This task is especially useful in the medical domain, where the latest medical findings are typically communicated via complex and technical…
ArticlesSentenceText SimplificationDiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion
Diffusion models have emerged as the new state-of-the-art family of deep generative models, and their promising potentials for text generation have recently attracted increasing attention. Existing studies mostly adopt a…
Conditional Text GenerationDecoderDialogue Generationmultimodal generation+4Reducing Sequence Length by Predicting Edit Operations with Large Language Models
Large Language Models (LLMs) have demonstrated remarkable performance in various tasks and gained significant attention. LLMs are also used for local sequence transduction tasks, including grammatical error correction (G…
Formality Style TransferGrammatical Error CorrectionStyle TransferText SimplificationDeep Learning Approaches to Lexical Simplification: A Survey
Lexical Simplification (LS) is the task of replacing complex for simpler words in a sentence whilst preserving the sentence's original meaning. LS is the lexical component of Text Simplification (TS) with the aim of maki…
Deep LearningLexical SimplificationPrompt LearningSentence+2CoEdIT: Text Editing by Task-Specific Instruction Tuning
We introduce CoEdIT, a state-of-the-art text editing system for writing assistance. CoEdIT takes instructions from the user specifying the attributes of the desired text, such as "Make the sentence simpler" or "Write it …
Formality Style TransferGrammatical Error CorrectionLanguage ModelingLarge Language Model+4Elaborative Simplification as Implicit Questions Under Discussion
Automated text simplification, a technique useful for making text more accessible to people such as children and emergent bilinguals, is often thought of as a monolingual translation task from complex sentences to simpli…
DecoderQuestion GenerationQuestion-GenerationText Simplification