The invention relates to a Chinese comparative
sentence recognizing method and device based on a neural network. The method comprises the following steps that firstly, normalization
processing is conducted on linguistic data and word segmentation results of the linguistic data, and then coarse
granularity extraction is conducted through a method based on the combination of comparative feature word dictionaries,
syntactic structure templates and dependence relationships; finally, a class sequential rule (CSR)
extraction algorithm is designed, CRF is used for mining entity object information, namely, semantic role information, comparative feature word features and statistical word features are used for assistance, the BP neural network is constructed by using the four features, and a feature type with the optimal performance is found out for completing fine
granularity extraction. Compared with the prior art, the Chinese comparative
sentence recognizing method and device based on the neural network have the advantages that different levels of
semantic information can be effectively used for conducting recognizing, therefore, a user can find out Chinese comparative sentences with high confidence coefficients from the linguistic data quickly and accurately and the recognizing rate of the Chinese comparative sentences can be increased.