Graph-Based Decoding for Event Sequencing and Coreference Resolution
June 13, 2018 ยท Declared Dead ยท ๐ International Conference on Computational Linguistics
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Authors
Zhengzhong Liu, Teruko Mitamura, Eduard Hovy
arXiv ID
1806.05099
Category
cs.CL: Computation & Language
Citations
11
Venue
International Conference on Computational Linguistics
Last Checked
4 months ago
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.
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