@InProceedings{lee-wang:2016:COLING,
  author    = {Lee, Young-Suk  and  Wang, Zhiguo},
  title     = {Language Independent Dependency to Constituent Tree Conversion},
  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     = {421--428},
  abstract  = {We present a dependency to constituent tree conversion technique that aims to
	improve constituent parsing accuracies by leveraging dependency treebanks
	available in a wide variety in many languages. The technique works in two
	steps. First, a partial constituent tree is derived from a dependency tree with
	a very simple deterministic algorithm that is both language and dependency type
	independent. Second, a complete high accuracy constituent tree is derived with
	a constraint-based parser, which uses the partial constituent
	tree as external constraints. Evaluated on Section 22 of the WSJ Treebank, the
	technique achieves the state-of-the-art conversion F-score 95.6. When applied
	to English Universal Dependency treebank and German CoNLL2006 treebank, the
	converted treebanks added to the human-annotated constituent parser training
	corpus improve parsing F-scores significantly for both languages.},
  url       = {http://aclweb.org/anthology/C16-1041}
}