In a similar work, Sangati and Zuidema (2009) proposed entropy minimization and greedy familiarity maximization techniques to obtain lexical heads from labeled phrase-structure trees in an unsupervised manner.
we used neural attention to obtain the "head rules" in the GA-RNNG; the whole model is trained end-to-end to maximize the log probability of the correct action given the history.