Papers Text Simplification
“Text Simplification” 태그가 달린 논문 505편 · 필터 해제
French Biomedical Text Simplification: When Small and Precise Helps
We present experiments on biomedical text simplification in French. We use two kinds of corpora {--} parallel sentences extracted from existing health comparable corpora in French and WikiLarge corpus translated from Eng…
Text SimplificationOn the Helpfulness of Document Context to Sentence Simplification
Most of the research on text simplification is limited to sentence level nowadays. In this paper, we are the first to investigate the helpfulness of document context on sentence simplification and apply it to the sequenc…
SentenceText SimplificationLeveraging Contextual Embeddings and Idiom Principle for Detecting Idiomaticity in Potentially Idiomatic Expressions
The majority of studies on detecting idiomatic expressions have focused on discovering potentially idiomatic expressions overlooking the context. However, many idioms like blow the whistle could be interpreted idiomatica…
Text SimplificationWord EmbeddingsSEMA: Text Simplification Evaluation through Semantic Alignment
Text simplification is an important branch of natural language processing. At present, methods used to evaluate the semantic retention of text simplification are mostly based on string matching. We propose the SEMA (text…
Text SimplificationContext-Aware Automatic Text Simplification of Health Materials in Low-Resource Domains
Healthcare systems have increased patients’ exposure to their own health materials to enhance patients’ health levels, but this has been impeded by patients’ lack of understanding of their health material. We address pot…
Text SimplificationControllable Text Simplification with Explicit Paraphrasing
Text Simplification improves the readability of sentences through several rewriting transformations, such as lexical paraphrasing, deletion, and splitting. Current simplification systems are predominantly sequence-to-seq…
Data AugmentationText SimplificationElaborative Simplification: Content Addition and Explanation Generation in Text Simplification
Much of modern-day text simplification research focuses on sentence-level simplification, transforming original, more complex sentences into simplified versions. However, adding content can often be useful when difficult…
Explanation GenerationSentenceSpecificityText SimplificationAutoMeTS: The Autocomplete for Medical Text Simplification
The goal of text simplification (TS) is to transform difficult text into a version that is easier to understand and more broadly accessible to a wide variety of readers. In some domains, such as healthcare, fully automat…
SentenceText SimplificationSeq2Edits: Sequence Transduction Using Span-level Edit Operations
We propose Seq2Edits, an open-vocabulary approach to sequence editing for natural language processing (NLP) tasks with a high degree of overlap between input and output texts. In this approach, each sequence-to-sequence …
Grammatical Error CorrectionSentenceSentence FusionTAG+2Small but Mighty: New Benchmarks for Split and Rephrase
Split and Rephrase is a text simplification task of rewriting a complex sentence into simpler ones. As a relatively new task, it is paramount to ensure the soundness of its evaluation benchmark and metric. We find that t…
SentenceSplit and RephraseText SimplificationA Survey on Text Simplification
Text Simplification (TS) aims to reduce the linguistic complexity of content to make it easier to understand. Research in TS has been of keen interest, especially as approaches to TS have shifted from manual, hand-crafte…
Semantic SimilaritySemantic Textual SimilaritySurveyText SimplificationExplainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
Text simplification reduces the language complexity of professional content for accessibility purposes. End-to-end neural network models have been widely adopted to directly generate the simplified version of input text,…
FairnessText SimplificationHTSS: A Novel Hybrid Text Summarisation and Simplification Architecture
Text simplification and text summarisation are related, but different sub-tasks in Natural Language Generation. Whereas summarisation attempts to reduce the length of a document, whilst keeping the original meaning, sim…
Text GenerationText SimplificationDeveloping a Monolingual Sentence Simplification Corpus for Urdu
Complex sentences are a hurdle in the learning process of language learners. Sentence simplification aims to convert a complex sentence into its simpler form such that it is easily comprehensible. To build such automated…
SentenceText SimplificationIterative Edit-Based Unsupervised Sentence Simplification
We present a novel iterative, edit-based approach to unsupervised sentence simplification. Our model is guided by a scoring function involving fluency, simplicity, and meaning preservation. Then, we iteratively perform w…
SentenceText SimplificationSimplification automatique de texte dans un contexte de faibles ressources (Automatic Text Simplification : Approaching the Problem in Low Resource Settings for French)
La simplification de textes a {\'e}merg{\'e} comme un sous-domaine actif du traitement automatique des langues, du fait des probl{\`e}mes pratiques et th{\'e}oriques qu{'}elle permet d{'}aborder, ainsi que de ses nombreu…
Text SimplificationSimplification de textes : un \'etat de l'art (Text simplification (State of the art) This paper presents the state of the art on text simplification, in particular the two main types of approaches, namely rule-based approaches and statistical approaches (or data-driven))
Cet article pr{\'e}sente l{'}{\'e}tat de l{'}art en simplification de textes et ses deux grandes familles d{'}approches, {\`a} savoir les approches {\`a} base de r{\`e}gles et les approches statistiques. Nous pr{\'e}sent…
Text SimplificationDetecting Multiword Expression Type Helps Lexical Complexity Assessment
Multiword expressions (MWEs) represent lexemes that should be treated as single lexical units due to their idiosyncratic nature. Multiple NLP applications have been shown to benefit from MWE identification, however the r…
Complex Word IdentificationText SimplificationVocal Bursts Type PredictionNeural CRF Model for Sentence Alignment in Text Simplification
The success of a text simplification system heavily depends on the quality and quantity of complex-simple sentence pairs in the training corpus, which are extracted by aligning sentences between parallel articles. To eva…
ArticlesSemantic SimilaritySemantic Textual SimilaritySentence+1Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen
The curse of knowledge can impede communication between experts and laymen. We propose a new task of expertise style transfer and contribute a manually annotated dataset with the goal of alleviating such cognitive biases…
Style TransferText Simplification