NEWSROOM
Related Papers
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
AbstractWe present NEWSROOM, a summarization dataset of 1.3 million articles and summaries written by authors and editors in newsrooms of 38 major news publications. Extracted from search and social media …...
Jointly Extracting and Compressing Documents with Summary State Representations
AbstractWe present a new neural model for text summarization that first extracts sentences from a document and then compresses them. The pro-posed model offers a balance that sidesteps thedifficulties in …...
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning
AbstractEvaluation of a document summarization system has been a critical factor to impact the success of the summarization task. Previous approaches, such as ROUGE, mainly consider the informativeness of the …...
HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models
AbstractSummarization systems make numerous “decisions” about summary properties during inference, e.g. degree of copying, specificity and length of outputs, etc. However, these are implicitly encoded within model parameters and specific …...