Papers Lexical Simplification
“Lexical Simplification” 태그가 달린 논문 147편 · 필터 해제
New Evaluation Paradigm for Lexical Simplification
Lexical Simplification (LS) methods use a three-step pipeline: complex word identification, substitute generation, and substitute ranking, each with separate evaluation datasets. We found large language models (LLMs) can…
Complex Word IdentificationIn-Context LearningLexical SimplificationSentenceInvestigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups
Complex Word Identification (CWI) is an essential step in the lexical simplification task and has recently become a task on its own. Some variations of this binary classification task have emerged, such as lexical comple…
Binary ClassificationComplex Word IdentificationLexical Complexity PredictionLexical Simplification+2MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification Resources for Catalan and Spanish
Automatic lexical simplification is a task to substitute lexical items that may be unfamiliar and difficult to understand with easier and more common words. This paper presents MultiLS-SP/CA, a novel dataset for lexical …
Lexical Complexity PredictionLexical SimplificationAn LLM-Enhanced Adversarial Editing System for Lexical Simplification
Lexical Simplification (LS) aims to simplify text at the lexical level. Existing methods rely heavily on annotated data, making it challenging to apply in low-resource scenarios. In this paper, we propose a novel LS meth…
Lexical 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 SimplificationUnsupervised Lexical Simplification with Context Augmentation
We propose a new unsupervised lexical simplification method that uses only monolingual data and pre-trained language models. Given a target word and its context, our method generates substitutes based on the target conte…
Lexical SimplificationOn the Automatic Generation and Simplification of Children's Stories
With recent advances in large language models (LLMs), the concept of automatically generating children's educational materials has become increasingly realistic. Working toward the goal of age-appropriate simplicity in g…
Lexical SimplificationMultilingual Lexical Simplification via Paraphrase Generation
Lexical simplification (LS) methods based on pretrained language models have made remarkable progress, generating potential substitutes for a complex word through analysis of its contextual surroundings. However, these m…
DiversityLexical SimplificationMachine TranslationParaphrase Generation+2Multilingual Controllable Transformer-Based Lexical Simplification
Text is by far the most ubiquitous source of knowledge and information and should be made easily accessible to as many people as possible; however, texts often contain complex words that hinder reading comprehension and …
Lexical SimplificationReading ComprehensionTeaching 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 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+2Controllable Lexical Simplification for English
Fine-tuning Transformer-based approaches have recently shown exciting results on sentence simplification task. However, so far, no research has applied similar approaches to the Lexical Simplification (LS) task. In this …
Lexical SimplificationSentenceFindings of the TSAR-2022 Shared Task on Multilingual Lexical Simplification
We report findings of the TSAR-2022 shared task on multilingual lexical simplification, organized as part of the Workshop on Text Simplification, Accessibility, and Readability TSAR-2022 held in conjunction with EMNLP 20…
Lexical SimplificationText SimplificationLexical Simplification using multi level and modular approach
Text Simplification is an ongoing problem in Natural Language Processing, solution to which has varied implications. In conjunction with the TSAR-2022 Workshop @EMNLP2022 Lexical Simplification is the process of reducing…
Lexical SimplificationRe-RankingTAGText SimplificationUniHD at TSAR-2022 Shared Task: Is Compute All We Need for Lexical Simplification?
Previous state-of-the-art models for lexical simplification consist of complex pipelines with several components, each of which requires deep technical knowledge and fine-tuned interaction to achieve its full potential. …
AllLexical SimplificationMANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders
In this paper we present our contribution to the TSAR-2022 Shared Task on Lexical Simplification of the EMNLP 2022 Workshop on Text Simplification, Accessibility, and Readability. Our approach builds on and extends the u…
Language ModelingLanguage ModellingLexical SimplificationNatural Language Inference+3ALEXSIS-PT: A New Resource for Portuguese Lexical Simplification
Lexical simplification (LS) is the task of automatically replacing complex words for easier ones making texts more accessible to various target populations (e.g. individuals with low literacy, individuals with learning d…
ArticlesLexical SimplificationXLM-RLexical Simplification Benchmarks for English, Portuguese, and Spanish
Even in highly-developed countries, as many as 15-30\% of the population can only understand texts written using a basic vocabulary. Their understanding of everyday texts is limited, which prevents them from taking an ac…
Lexical SimplificationComplex Word Identification in Vietnamese: Towards Vietnamese Text Simplification
Text Simplification has been an extensively researched problem in English, but has not been investigated in Vietnamese. We focus on the Vietnamese-specific Complex Word Identification task, often the first step in Lexica…
Complex Word IdentificationLexical SimplificationText SimplificationVietnamese DatasetsALEXSIS: A Dataset for Lexical Simplification in Spanish
Lexical Simplification is the process of reducing the lexical complexity of a text by replacing difficult words with easier to read (or understand) expressions while preserving the original information and meaning. In th…
Lexical Simplification