@InProceedings{liu-mitamura-hovy:2018:C18-1,
  author    = {Liu, Zhengzhong  and  Mitamura, Teruko  and  Hovy, Eduard},
  title     = {Graph Based Decoding for Event Sequencing and Coreference Resolution},
  booktitle = {Proceedings of the 27th International Conference on Computational Linguistics},
  month     = {August},
  year      = {2018},
  address   = {Santa Fe, New Mexico, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {3645--3657},
  abstract  = {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.},
  url       = {http://www.aclweb.org/anthology/C18-1309}
}