A parse with perfect scores under ALS and LAS will match the gold-standard training tree.
in this paper, we propose a training algorithm for statistical dependency parsers (Kübler et al., 2009) in which a single model is jointly optimized for a regular supervised training objective over the treebank data as well as a task-specific objective -or more generally an extrinsic objective -on an additional data set.