A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal

ACL 2020 Demian Gholipour GhalandariChris HokampNghia The PhamJohn GloverGeorgiana Ifrim

Multi-document summarization (MDS) aims to compress the content in large document collections into short summaries and has important applications in story clustering for newsfeeds, presentation of search results, and timeline generation. However, there is a lack of datasets that realistically address such use cases at a scale large enough for training supervised models for this task... (read more)

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