Papers Text Simplification
“Text Simplification” 태그가 달린 논문 505편 · 필터 해제
ReXplain: Translating Radiology into Patient-Friendly Video Reports
Radiology reports, designed for efficient communication between medical experts, often remain incomprehensible to patients. This inaccessibility could potentially lead to anxiety, decreased engagement in treatment decisi…
AnatomyImage SegmentationLanguage ModelingLanguage Modelling+3Language Resources in Spanish for Automatic Text Simplification across Domains
This work describes the language resources and models developed for automatic simplification of Spanish texts in three domains: Finance, Medicine and History studies. We created several corpora in each domain, annotation…
Text SimplificationAnalysing Zero-Shot Readability-Controlled Sentence Simplification
Readability-controlled text simplification (RCTS) rewrites texts to lower readability levels while preserving their meaning. RCTS models often depend on parallel corpora with readability annotations on both source and ta…
SentenceText SimplificationBERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore
The BERTScore metric is commonly used to evaluate automatic text simplification systems. However, current implementations of the metric fail to provide complete visibility into all information the metric can produce. Not…
Text SimplificationExploring Large Language Models to generate Easy to Read content
Ensuring text accessibility and understandability are essential goals, particularly for individuals with cognitive impairments and intellectual disabilities, who encounter challenges in accessing information across vario…
Text SimplificationSATS: simplification aware text summarization of scientific documents
Simplifying summaries of scholarly publications has been a popular method for conveying scientific discoveries to a broader audience. While text summarization aims to shorten long documents, simplification seeks to reduc…
Text SimplificationText SummarizationTwo-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification
Radiology reports are highly technical documents aimed primarily at doctor-doctor communication. There has been an increasing interest in sharing those reports with patients, necessitating providing them patient-friendly…
Text SimplificationReadability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
Chinese sentence simplification faces challenges due to the lack of large-scale labeled parallel corpora and the prevalence of idioms. To address these challenges, we propose Readability-guided Idiom-aware Sentence Simpl…
Data AugmentationMulti-Task LearningSentenceText SimplificationSpivavtor: An Instruction Tuned Ukrainian Text Editing Model
We introduce Spivavtor, a dataset, and instruction-tuned models for text editing focused on the Ukrainian language. Spivavtor is the Ukrainian-focused adaptation of the English-only CoEdIT model. Similar to CoEdIT, Spiva…
Grammatical Error CorrectionmodelText SimplificationThe SAMER Arabic Text Simplification Corpus
We present the SAMER Corpus, the first manually annotated Arabic parallel corpus for text simplification targeting school-aged learners. Our corpus comprises texts of 159K words selected from 15 publicly available Arabic…
Text SimplificationThe Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews
Systematic review (SR) is a popular research method in software engineering (SE). However, conducting an SR takes an average of 67 weeks. Thus, automating any step of the SR process could reduce the effort associated wit…
Text SimplificationSimpler becomes Harder: Do LLMs Exhibit a Coherent Behavior on Simplified Corpora?
Text simplification seeks to improve readability while retaining the original content and meaning. Our study investigates whether pre-trained classifiers also maintain such coherence by comparing their predictions on bot…
Text SimplificationEASSE-DE: Easier Automatic Sentence Simplification Evaluation for German
In this work, we propose EASSE-multi, a framework for easier automatic sentence evaluation for languages other than English. Compared to the original EASSE framework, EASSE-multi does not focus only on English. It contai…
SentenceText SimplificationEvaluating Document Simplification: On the Importance of Separately Assessing Simplicity and Meaning Preservation
Text simplification intends to make a text easier to read while preserving its core meaning. Intuitively and as shown in previous works, these two dimensions (simplification and meaning preservation) are often-times inve…
SentenceText SimplificationREFeREE: A REference-FREE Model-Based Metric for Text Simplification
Text simplification lacks a universal standard of quality, and annotated reference simplifications are scarce and costly. We propose to alleviate such limitations by introducing REFeREE, a reference-free model-based metr…
Text SimplificationARTiST: Automated Text Simplification for Task Guidance in Augmented Reality
Text presented in augmented reality provides in-situ, real-time information for users. However, this content can be challenging to apprehend quickly when engaging in cognitively demanding AR tasks, especially when it is …
Text SimplificationmEdIT: Multilingual Text Editing via Instruction Tuning
We introduce mEdIT, a multi-lingual extension to CoEdIT -- the recent state-of-the-art text editing models for writing assistance. mEdIT models are trained by fine-tuning multi-lingual large, pre-trained language models …
Grammatical Error CorrectionText SimplificationMultiLS: A Multi-task Lexical Simplification Framework
Lexical Simplification (LS) automatically replaces difficult to read words for easier alternatives while preserving a sentence's original meaning. LS is a precursor to Text Simplification with the aim of improving text a…
Lexical Complexity PredictionLexical SimplificationText SimplificationThe Lay Person's Guide to Biomedicine: Orchestrating Large Language Models
Automated lay summarisation (LS) aims to simplify complex technical documents into a more accessible format to non-experts. Existing approaches using pre-trained language models, possibly augmented with external backgrou…
ArticlesText SimplificationDigital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities
Text simplification refers to the process of increasing the comprehensibility of texts. Automatic text simplification models are most commonly evaluated by experts or crowdworkers instead of the primary target groups of …
Multiple-choiceText Simplification