Abstract
Nowadays, technologies allows us to store large volumes of information in different formats. It represents a challenge due to the lack of semantic in retrieval and extraction process of information efficiently. A possible strategy is to transform unstructured information into structured data. In recent years, ontologies have been widely used as an alternative to represent structured data from texts. This paper presents a new approach based on linguistic markers for ontology learning and population by considering cognitive aspects in order identify discourse relations between events from news reports. The main idea is to find concepts (event type), discourse relations (ontological relations) between events and class instances (real events). Our approach shows promising results for learning discourse relations in terms of F-measure.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
