@InProceedings{bjerva-plank-bos:2016:COLING,
  author    = {Bjerva, Johannes  and  Plank, Barbara  and  Bos, Johan},
  title     = {Semantic Tagging with Deep Residual Networks},
  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     = {3531--3541},
  abstract  = {We propose a novel semantic tagging task, semtagging, tailored for the purpose
	of multilingual semantic parsing, and present the first tagger using deep
	residual networks (ResNets). 
	Our tagger uses both word and character representations, and includes a novel
	residual bypass architecture. 
	We evaluate the tagset both intrinsically on the new task of semantic tagging,
	as well as on Part-of-Speech (POS) tagging. 
	Our system, consisting of a ResNet and an auxiliary loss function predicting
	our semantic tags, significantly outperforms prior results on English Universal
	Dependencies POS tagging (95.71% accuracy on UD v1.2 and 95.67% accuracy on UD
	v1.3).},
  url       = {http://aclweb.org/anthology/C16-1333}
}