Tracking Information Flow between Primary and Secondary News Sources
نویسندگان
چکیده
Tracking information flow (IFLOW) is crucial to understanding the evolution of news stories. We present analysis and experiments for IFLOW between company announcements and newswire. Error analysis shows that many FPs are annotation errors and many FNs are due to coarse-grained document-level modelling. Experiments show that document meta-data features (e.g., category, length, timing) improve f-scores relative to upper bound by 23%.
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تاریخ انتشار 2010