Correlating open rating systems and event extraction from text

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 patterns obtained from machine reading, and ranking derived from open rating systems. The experiment is performed in the touristic domain, where there is some evidence of misalignment between the two sources of opinion.