Descubrimiento de Relaciones Discursivas a partir de reportes periodísticos: un enfoque dirigido por eventos (Learning Discourse Relations from News Reports: An Event-driven Approach)

José Alejandro Reyes (, Azucena Montes (

1Universidad Autónoma Metropolitana Azcapotzalco
2Universidad Nacional Autónoma de México

This paper appears in: Revista IEEE América Latina

Publication Date: Jan. 2016
Volume: 14,   Issue: 1 
ISSN: 1548-0992

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.

Index Terms:
discourse relations, ontology learning, event-driven learning, linguistics markers   

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