LEARNING A MODEL FOR RECOGNITION PROCESSING

摘要

A method, system, and computer program product for learning a recognition model for recognition processing. The method includes preparing one or more examples for learning, each of which includes an input segment, an additional segment adjacent to the input segment and an assigned label. The input segment and the additional segment are extracted from an original training data. A classification model is trained, using the input segment and the additional segment in the examples, to initialize parameters of the classification model so that extended segments including the input segment and the additional segment are reconstructed from the input segment. Then, the classification model is tuned to predict a target label, using the input segment and the assigned label in the examples, based on the initialized parameters. At least a portion of the obtained classification model is included in the recognition model.

主权项

1. A method for learning a recognition model for recognition processing, the method comprising:
preparing one or more examples for learning, each of which includes an input segment, an additional segment adjacent to the input segment and an assigned label, the input segment and the additional segment being extracted from an original training data; training a classification model, using a processor, using the input segment and the additional segment in the examples to initialize parameters of the classification model to provide initialized parameters so that extended segments, including the input segment and the additional segment, are reconstructed from the input segment to provide reconstructed extended segments; and tuning the classification model to predict a target label, using the input segment and the assigned label in the examples, based on the initialized parameters, at least a portion of the classification model being included in the recognition model.