We are the first to use keystroke logs as signal to improve NLP models.
the contributions of this paper are the following: i) we present a novel bi-LSTM model that exploits keystroke logs as auxiliary task for syntactic sequence prediction tasks; ii) we show that our model works well for two tasks, syntactic chunking and CCG supertagging, and iii) we make the code available at: https://github.com/bplank/coling2016ks.