Patent Document ID: 9037460
Application ID: 13433186

Base Claim:
1. A method, performed by a processor of a computer system, utilizing an expanded Conditional Random Field (eCRF) model, the method comprising: performing actions, by an eCRF manager, relating to eCRF applications, the actions comprising: accessing an eCRF model that includes modeling of labels with long-distance dependencies; constructing an expanded searching lattice comprising nodes and edges; extracting features for the nodes and edges in the searching lattice, wherein the features include feature values, and wherein the feature values are based on a distance from the labels with long-distance dependencies; computing, by the processor, probabilities of the nodes and the edges in the searching lattice; determining a label sequence using the searching lattice; and outputting the label sequence.

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Claim 2:
2. The method of claim 1 , wherein the eCRF model comprises a first portion of the model that corresponds to a standard CRF model and a second portion that corresponds to the modeling of labels with long-distance dependencies expressed by: Σ l=1 L θ l g l (y t , d t r , x t ) where L is the number of dynamic feature functions, θ l is the weight for l-th feature functions g l , and d t r is the distance of current label from/to a previous/next specific output label r and wherein x t is the current input feature.