Events in text documents are interrelated in complex ways. In this paper, we study two types of relation: Event Coreference and Event Sequencing. We show that the popular tree-like decoding structure for automated Event Coreference is not suitable for Event Sequencing. To this end, we propose a graph-based decoding algorithm that is applicable to both tasks. The new decoding algorithm supports flexible feature sets for both tasks. Empirically, our event coreference system has achieved state-of-the-art performance on the TAC-KBP 2015 event coreference task and our event sequencing system beats a strong temporal-based, oracle-informed baseline. We discuss the challenges of studying these event relations.
@article{arxiv.1806.05099,
title = {Graph-Based Decoding for Event Sequencing and Coreference Resolution},
author = {Zhengzhong Liu and Teruko Mitamura and Eduard Hovy},
journal= {arXiv preprint arXiv:1806.05099},
year = {2018}
}