@InProceedings{li-EtAl:2016:COLING4,
  author    = {Li, Peifeng  and  Zhu, Qiaoming  and  Zhou, Guodong  and  Wang, Hongling},
  title     = {Global Inference to Chinese Temporal Relation Extraction},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1451--1460},
  abstract  = {Previous studies on temporal relation extraction focus on mining sentence-level
	information or enforcing coherence on different temporal relation types among
	various event mentions in the same sentence or neighboring sentences, largely
	ignoring those discourse-level temporal relations in nonadjacent sentences. In
	this paper, we propose a discourse-level global inference model to mine those
	temporal relations between event mentions in document-level, especially in
	nonadjacent sentences. Moreover, we provide various kinds of discourse-level
	constraints, which derived from event semantics, to further improve our global
	inference model. Evaluation on a Chinese corpus justifies the effectiveness of
	our discourse-level global inference model over two strong baselines.},
  url       = {http://aclweb.org/anthology/C16-1137}
}