https://github.com/hyeonsuukang/augmenting_tochi22
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion
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.
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion
CompLex: A New Corpus for Lexical Complexity Prediction from Likert Scale Data
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification
Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.