Patent ID: 7624006
Filing Date: 2009-11-24
Classification: G06N,G10L,Y10S

Abstract:
1. A method of constructing a statistical classifier that classifies sentences having words into classes, comprising: receiving, in memory accessible by a computer processor, labeled training data comprising text sentences labeled by class; calculating, using the computer processor, an initial class probability parameter θ constructing a set of binary valued feature vectors for sentences in the training data, each set of feature vectors corresponding to a class label, each feature vector corresponding to a sentence, each feature corresponding to a word k; calculating, using the computer processor, initial word/class probability parameter θ calculating, using the computer processor, initial word/class improbability parameter constructing and outputting a statistical classifier of parameterized probability values of all classes jointly given sentence x, and wherein constructing a statistical classifier comprises iteratively re-estimating initial parameters θ