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The sentiment classification of Chinese Microblog is a meaningful topic. Many studies has been done based on the methods of rule and word-bag, and to understand the structure information of a sentence will be the next target. We proposed a sentiment classification method based on Recurrent neural network (RNN). We adopted the technology of distributed word representation to construct a vector for...
The automatic error-detecting system is implemented on a hybrid algorithm combining with n-gram model, dependency parsing, Hownet and rules created and used to detect different error types of Chinese text. First of all, four different n-gram models are employed to analyze the separate strings in the segmented texts and detect the lexical errors, and experiments are made on the frequency statistics...
In this paper, a new method of multiple layer classifiers integration based on single classifier is proposed which called Auto Weight Adjust. In the most used classifiers, Maximum Entropy (ME) model has excellent performance, and Naïve Bayesian (NB) is preferred by researchers for it's simple and useful. So in our experiments we chose ME and NB as single classifiers and use the ME classifier result...
Automatic question-answer system is a very hot research in natural language processing realm. But it also exist some problems. The developing period of the Q/A system in different fields is too long, and the recycle rate is so low. To deal with it, the paper researches the generator of automatic Q/A system. First, the paper introduces the answer shape measure and the module of Q/A system. It brings...
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