arXiv:2501.16181
Can summarization approximate simplification? A gold standard comparison
원문 초록
This study explores the overlap between text summarization and simplification outputs. While summarization evaluation methods are streamlined, simplification lacks cohesion, prompting the question: how closely can abstractive summarization resemble gold-standard simplification? We address this by applying two BART-based BRIO summarization methods to the Newsela corpus, comparing outputs with manually annotated simplifications and achieving a top ROUGE-L score of 0.654. This provides insight into where summarization and simplification outputs converge and differ.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
A Split-then-Join Approach to Abstractive Summarization for Very Long Documents in a Low Resource Setting
Survey on Abstractive Text Summarization: Dataset, Models, and Metrics
DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization
L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in Marathi
Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
토론
이 논문과 연결된 포럼 글이 아직 없습니다.