Sentence recognizing method and sentence recognizing device

Abstract

The invention discloses a sentence recognizing method and a sentence recognizing device. The sentence recognizing method includes: customizing mapping classifiers, and setting mapping relations between feature vectors and classification results in the mapping classifiers; combining normal classifiers with the mapping classifiers to form weak classifiers; inputting corpus samples into the weak classifiers for classification recognition, wherein the corpus samples contain feature vectors of instantial corpuses; comparing recognized classification results given by the weak classifiers with a standard classification result, if the recognized classification results are consistent with the standard classification result, judging the classification to be correct, and if the recognized classification results are not consistent with the standard classification result, judging the classification to be incorrect; setting weights of corresponding weak classifiers according to an error rate; inputting a to-be-classified sentence into the weak classifiers for classification so as to obtain classification results; making statistics on the weights of the weak classifiers outputting same classification results to obtain probability values of corresponding classification results; taking the classification result with the maximum possibility value as the final recognition result of the to-be-classified sentence. The sentence recognizing method and the sentence recognizing device have the advantage that accuracy in sentence recognition can be improved.

Description

technical field [0001] The invention relates to information processing technology, in particular to a method and device for sentence recognition. Background technique [0002] In current information processing applications, the scene of recognizing sentences to determine their classification results is often involved. [0003] For example, in a network question answering system, a user inputs a natural language text sentence, and the network side recognizes it to obtain a classification result, extracts corresponding response data according to the classification result, and feeds back to the user. This instance processes and analyzes the statements entered by the user, finally executes the user's request, and returns the information required by the user. [0004] In the question answering system, the accuracy of the answer is an important verification index. In order to answer accurately, it is necessary to identify the classification results of the sentence as accurately ...

AI Technical Summary

Problems solved by technology

[0007] The existing sentence recognition schemes using ordinary classifiers have the following defects: because the ordinary classification model is trained based on the statistical method of instance corpus, it is not easy to improve the recognition accuracy after reaching a certain level, and for some The sentence is difficult to identify accurately

[0008] In summary, the existing sentence recognition schemes have limitations, and the recognition accuracy is low

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