Papers Text Simplification
“Text Simplification” 태그가 달린 논문 505편 · 필터 해제
Evaluation of Automatic Text Simplification: Where are we now, where should we go from here
Évaluation de la simplification automatique de textes : où nous en sommes et vers où devonsnous aller. L’objectif de la simplification automatique de textes consiste à adapter le contenu de documents afin de les rendre p…
Text SimplificationHECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French
Reducing the complexity of texts by applying an Automatic Text Simplification (ATS) system has been sparking interest inthe area of Natural Language Processing (NLP) for several years and a number of methods and evaluati…
Lexical SimplificationText SimplificationWord EmbeddingsCWID-hi: A Dataset for Complex Word Identification in Hindi Text
Text simplification is a method for improving the accessibility of text by converting complex sentences into simple sentences. Multiple studies have been done to create datasets for text simplification. However, most of …
Complex Word IdentificationText SimplificationA Multilingual Simplified Language News Corpus
Simplified language news articles are being offered by specialized web portals in several countries. The thousands of articles that have been published over the years are a valuable resource for natural language processi…
ArticlesText SimplificationThe Swedish Simplification Toolkit: – Designed with Target Audiences in Mind
In this paper, we present the current version of The Swedish Simplification Toolkit. The toolkit includes computational and empirical tools that have been developed along the years to explore a still neglected area of NL…
Text SimplificationOpen corpora and toolkit for assessing text readability in French
Measuring the linguistic complexity or assessing the readability of spoken or written productions has been the concern of several researchers in pedagogy and (foreign) language teaching for decades. Researchers study for…
Text SimplificationMaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification
In text summarization and simplification, system outputs must be evaluated along multiple dimensions such as relevance, factual consistency, fluency, and grammaticality, and a wide range of possible outputs could be of h…
Language ModelingLanguage ModellingMasked Language ModelingText Simplification+1Lossless Acceleration for Seq2seq Generation with Aggressive Decoding
We study lossless acceleration for seq2seq generation with a novel decoding algorithm -- Aggressive Decoding. Unlike the previous efforts (e.g., non-autoregressive decoding) speeding up seq2seq generation at the cost of …
Abstractive Text SummarizationGPUGrammatical Error CorrectionMachine Translation+3Domain Adaptation in Multilingual and Multi-Domain Monolingual Settings for Complex Word Identification
Complex word identification (CWI) is a cornerstone process towards proper text simplification. CWI is highly dependent on context, whereas its difficulty is augmented by the scarcity of available datasets which vary grea…
Complex Word IdentificationDomain AdaptationLexical Complexity PredictionText SimplificationOne Size Does Not Fit All: The Case for Personalised Word Complexity Models
Complex Word Identification (CWI) aims to detect words within a text that a reader may find difficult to understand. It has been shown that CWI systems can improve text simplification, readability prediction and vocabula…
Active LearningAllComplex Word IdentificationText SimplificationPredicting Sentence Deletions for Text Simplification Using a Functional Discourse Structure
Document-level text simplification often deletes some sentences besides performing lexical, grammatical or structural simplification to reduce text complexity. In this work, we focus on sentence deletions for text simpli…
SentenceText SimplificationTS-ANNO: An Annotation Tool to Build, Annotate and Evaluate Text Simplification Corpora
We introduce TS-ANNO, an open-source web application for manual creation and for evaluation of parallel corpora for text simplification. TS-ANNO can be used for i) sentence–wise alignment, ii) rating alignment pairs (e.g…
SentenceText SimplificationOn the Ethical Considerations of Text Simplification
This paper outlines the ethical implications of text simplification within the framework of assistive systems. We argue that a distinction should be made between the technologies that perform text simplification and the …
Text SimplificationSimpleBERT: A Pre-trained Model That Learns to Generate Simple Words
Pre-trained models are widely used in the tasks of natural language processing nowadays. However, in the specific field of text simplification, the research on improving pre-trained models is still blank. In this work, w…
Language ModelingLanguage ModellingLexical SimplificationMasked Language Modeling+2Evaluating Factuality in Text Simplification
Automated simplification models aim to make input texts more readable. Such methods have the potential to make complex information accessible to a wider audience, e.g., providing access to recent medical literature which…
Text SimplificationText Revision by On-the-Fly Representation Optimization
Text revision refers to a family of natural language generation tasks, where the source and target sequences share moderate resemblance in surface form but differentiate in attributes, such as text formality and simplici…
AttributeLanguage ModelingLanguage ModellingMasked Language Modeling+2Learning to Simplify with Data Hopelessly Out of Alignment
We consider whether it is possible to do text simplification without relying on a "parallel" corpus, one that is made up of sentence-by-sentence alignments of complex and ground truth simple sentences. To this end, we in…
SentenceText SimplificationAn Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models
We propose a framework for training non-autoregressive sequence-to-sequence models for editing tasks, where the original input sequence is iteratively edited to produce the output. We show that the imitation learning alg…
Abstractive Text SummarizationImitation LearningMachine TranslationText Simplification+1Klexikon: A German Dataset for Joint Summarization and Simplification
Traditionally, Text Simplification is treated as a monolingual translation task where sentences between source texts and their simplified counterparts are aligned for training. However, especially for longer input docume…
Text SimplificationText SummarizationUnsupervised Sentence Simplification via Dependency Parsing
Text simplification is the task of rewriting a text so that it is readable and easily understood. In this paper, we propose a simple yet novel unsupervised sentence simplification system that harnesses parsing structures…
Dependency ParsingSentenceSentence EmbeddingsText Simplification