Rookie: A unique approach for exploring news archives
نویسندگان
چکیده
News archives are an invaluable primary source for placing current events in historical context. But current search engine tools do a poor job at uncovering broad themes and narratives across documents. We present Rookie: a practical soware system which uses natural language processing (NLP) to help readers, reporters and editors uncover broad stories in news archives. Unlike prior work, Rookie’s design emerged from 18 months of iterative development in consultation with editors and computational journalists. is process lead to a dramatically dierent approach from previous academic systems with similar goals. Our eorts oer a generalizable case study for others building real-world journalism soware using NLP.
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عنوان ژورنال:
- CoRR
دوره abs/1708.01944 شماره
صفحات -
تاریخ انتشار 2017