@InProceedings{toleu-tolegen-makazhanov:2017:Short,
  author    = {Toleu, Alymzhan  and  Tolegen, Gulmira  and  Makazhanov, Aibek},
  title     = {Character-Aware Neural Morphological Disambiguation},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {666--671},
  abstract  = {We develop a language-independent, deep learning-based approach to the task of
	morphological disambiguation.
	Guided by the intuition that the correct analysis should be ``most similar'' to
	the context, we propose dense representations for morphological analyses and
	surface context and a simple yet effective way of combining the two to perform
	disambiguation.
	Our approach improves on the language-dependent state of the art for two
	agglutinative languages (Turkish and Kazakh) and can be potentially applied to
	other morphologically complex languages.},
  url       = {http://aclweb.org/anthology/P17-2105}
}