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

摘要

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 Fl-score over other systems) and shows a significant advance in the Cross-document event ordering task. (C) 2016 Elsevier B.V. All rights reserved.