@InProceedings{plank:2016:COLING,
  author    = {Plank, Barbara},
  title     = {Keystroke dynamics as signal for shallow syntactic 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     = {609--619},
  abstract  = {Keystroke dynamics have been extensively used in psycholinguistic and writing
	research to gain insights into cognitive processing. 
	But do keystroke logs contain actual signal that can be used to learn better
	natural language processing models?
	We postulate that keystroke dynamics contain information about syntactic
	structure that can inform shallow syntactic parsing. To test this hypothesis, 
	we explore labels derived from keystroke logs as auxiliary task in a multi-task
	bidirectional Long Short-Term Memory (bi-LSTM). Our results show promising
	results on two shallow syntactic parsing tasks, chunking and CCG supertagging.
	Our model is simple, has the advantage that data can come from distinct
	sources, and produces models that are significantly better than models trained
	on the text annotations alone.},
  url       = {http://aclweb.org/anthology/C16-1059}
}