Index of papers in Proc. ACL 2009 that mention
  • soft constraints
Martins, Andre and Smith, Noah and Xing, Eric
Our formulation is able to handle nonlocal output features in an efficient manner; not only is it compatible with prior knowledge encoded as hard constraints, it can also learn soft constraints from data.
These features can act as soft constraints whose penalty values are automatically learned from data; in addition, our model is also compatible with expert knowledge in the form of hard constraints.
0 Soft constraints may be automatically learned from data.
soft constraints is mentioned in 3 sentences in this paper.
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