Abstract
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.
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Acknowledgements
This work is partially supported by a public grant overseen by the French National Research Agency (ANR) as part of the program “Investissements d’Avenir” (reference: ANR-10-LABX-0083).
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Hassan, E., Buscaldi, D., Gangemi, A. (2015). Correlating Open Rating Systems and Event Extraction from Text. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9492. Springer, Cham. https://doi.org/10.1007/978-3-319-26561-2_44
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DOI: https://doi.org/10.1007/978-3-319-26561-2_44
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