Learning the structure of hierarchical extraction models
Abstract:
A hierarchical extraction model for a label hierarchy may be implemented by a weighted hierarchical state machine whose structure and/or weights are determined in part from a statistical distribution of label sequences as determined from training data. In accordance with various embodiments, the hierarchical state machine includes one or more non-cyclic directed chains of states representing at least a subset of the label sequences, and transitions weighted based at least in part on the statistical distribution.
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