https://github.com/JumpyPizza/align-sentence-simplification-with-ESL-learner
공식 코드Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Text Simplification is the task of reducing the complexity of the vocabulary and sentence structure of text while retaining its original meaning, with the goal of improving readability and understanding. Simplification has a variety of important societal applications, for example increasing accessibility for those with cognitive disabilities such as aphasia, dyslexia, and autism, or for non-native speakers and children with reading difficulties.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition
TextBox 2.0: A Text Generation Library with Pre-trained Language Models
Integrating Transformer and Paraphrase Rules for Sentence Simplification
Controlled Text Generation with Hidden Representation Transformations
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts
Neural CRF Model for Sentence Alignment in Text Simplification
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data
Discourse Level Factors for Sentence Deletion in Text Simplification
BibRank: Automatic Keyphrase Extraction Platform Using~Metadata
Automatic Input Rewriting Improves Translation with Large Language Models
Klexikon: A German Dataset for Joint Summarization and Simplification
Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian
Detecting Multiword Expression Type Helps Lexical Complexity Assessment
BLEU is Not Suitable for the Evaluation of Text Simplification
Cognitive Simplification Operations Improve Text Simplification
MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases
Reference-less Quality Estimation of Text Simplification Systems
RISC: Generating Realistic Synthetic Bilingual Insurance Contract
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.