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.
Correlating open rating systems and event extraction from text / Hassan E, Buscaldi D, Gangemi A. - STAMPA. - (2015), pp. 367-375. (Intervento presentato al convegno ICONIP 2015 tenutosi a Istanbul nel 2015) [10.1007/978-3-319-26561-2_44].
Correlating open rating systems and event extraction from text
GANGEMI, ALDO
Membro del Collaboration Group
2015
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
