Cross-document event ordering through temporal, lexical and distributional knowledge

In this paper we present a system that automatically builds ordered timelines of events from different written texts in English. The system deals with problems such as automatic event extraction, cross-document temporal relation extraction and cross-document event coreference resolution. Its main characteristic is the application of three different types of knowledge: temporal knowledge, lexical-semantic knowledge and distributional-semantic knowledge, in order to anchor and order the events in the timeline. It has been evaluated within the framework of SemEval 2015. The proposed system improves the current state-of-the-art systems in all measures (up to eight points of F1-score over other systems) and shows a significant advance in the Cross-document event ordering task.

Autores: 
Navarro-Colorado, Borja
Saquete, Estela
Tipo de publicación: 
Artículo de revista
Nombre de la revista: 
Knowledge-Based Systems
Nombre del libro: 
-
Volumen: 
110
ISSN: 
0950-7051
Revisión por pares: 
Internacional: 
Editorial: 
Elsevier
Publicable: 
DOI: 
10.1016/j.knosys.2016.07.032
Año de publicación: 
2 016