Dataset of Quotation Attribution in German News Articles | allainews.com

April 26, 2024, 4:47 a.m. | Fynn Petersen-Frey, Chris Biemann

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.16764v1 Announce Type: new
Abstract: Extracting who says what to whom is a crucial part in analyzing human communication in today's abundance of data such as online news articles. Yet, the lack of annotated data for this task in German news articles severely limits the quality and usability of possible systems. To remedy this, we present a new, freely available, creative-commons-licensed dataset for quotation attribution in German news articles based on WIKINEWS. The dataset provides curated, high-quality annotations across 1000 …

abstract annotated data articles arxiv attribution communication cs.cl data dataset german human part quality systems type usability

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