@InProceedings{li-EtAl:2016:COLING3,
  author    = {Li, Fangyuan  and  Huang, Ruihong  and  Xiong, Deyi  and  Zhang, Min},
  title     = {Learning Event Expressions via Bilingual Structure Projection},
  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     = {1441--1450},
  abstract  = {Identifying events of a specific type is a challenging task as events in texts
	are described in numerous and diverse ways. Aiming to resolve high complexities
	of event descriptions, previous work (Huang and Riloff, 2013) proposes
	multi-faceted event recognition and a bootstrapping method to automatically
	acquire both event facet phrases and event expressions from unannotated texts.
	However, to ensure high quality of learned phrases, this method is constrained
	to only learn phrases that match certain syntactic structures. In this paper,
	we propose a bilingual structure projection algorithm that explores linguistic
	divergences between two languages (Chinese and English) and mines new phrases
	with new syntactic structures, which have been ignored in the previous work.
	Experiments show that our approach can successfully find novel event phrases
	and structures, e.g., phrases headed by nouns. Furthermore, the newly mined
	phrases are capable of recognizing additional event descriptions and increasing
	the recall of event recognition.
	Author{1}{Affiliation}},
  url       = {http://aclweb.org/anthology/C16-1136}
}