@InProceedings{shih-chen:2016:COLING,
  author    = {Shih, Yong-Siang  and  Chen, Hsin-Hsi},
  title     = {Detection, Disambiguation and Argument Identification of Discourse Connectives in Chinese Discourse Parsing},
  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     = {1891--1902},
  abstract  = {In this paper, we investigate four important issues together for explicit
	discourse relation labelling in Chinese texts: (1) discourse connective
	extraction, (2) linking ambiguity resolution, (3) relation type disambiguation,
	and (4) argument boundary identification. In a pipelined Chinese discourse
	parser, we identify potential connective candidates by string matching,
	eliminate non-discourse usages from them with a binary classifier, resolve
	linking ambiguities among connective components by ranking, disambiguate
	relation types by a multiway classifier, and determine the argument boundaries
	by conditional random fields. The experiments on Chinese Discourse Treebank
	show that the F1 scores of 0.7506, 0.7693, 0.7458, and 0.3134 are achieved for
	discourse usage disambiguation, linking disambiguation, relation type
	disambiguation, and argument boundary identification, respectively, in a
	pipelined Chinese discourse parser.},
  url       = {http://aclweb.org/anthology/C16-1178}
}