In training and adapting we found that bootstrapping based on unlabelled dependencies worked better in all cases than utilizing the labelled mapping we derived.
we chose to use Model G for the blind test as it incorporates most information from the in-   For the blind test submission we used Models G and H to parse the PCHEMTB and CHILDES data, respectively.