Correlating open rating systems and lived experiences extraction from text

نویسندگان

  • Ehab Hassan
  • Davide Buscaldi
  • Aldo Gangemi
چکیده

Event extraction is a very important task for research textual information. This task can be applied to various types of written text, e.g. news messages, blogs, manuscripts, and user reviews for products or services. In this paper, we report results about an experiment in correlating Event-based lived experience patterns obtained from machine reading, and ranking derived from open rating systems.

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تاریخ انتشار 2016