In addition to the log-likelihood objective, we also include syntactic inconsistency loss (defined in Section 2.3) which quantifies the hard constraint (spans implied by syntactic parse) violations in our training objective.
while training our model, we enforce the outputs of our system to agree with the spans implied by the syntactic parse of the sentence as much as possible.