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This paper uses Vector Space Model to represent topic, and focuses on the creation of the model. Based on the analysis of the characteristics of the English news stories, the paper proposed two methods to improve the topic's representation. Firstly, we propose a news story-oriented feature extraction algorithm based on the combination of word analysis and the location characteristic of the news stories...
Automatic word segmentation technology is an important component part of modern Chinese information processing. It is the key technology of the Chinese full-text retrieval. This paper presents a Chinese word segmentation algorithm based on maximum entropy. It uses of part-of-speech tagging and word frequency tagging of corpus to establish maximum entropy model based on mutual information as a word...
Chinese segmentation is an important issue in Chinese text processing. The traditional segmentation methods those depend on an existing dictionary suffer the drawbacks when encounter unknown words. The paper proposed a segmenting algorithm for Chinese based on extracting local context information. It added the context information of the testing text into the local PPM statistical model so as to guide...
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