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In the text classification, The similarity between the text need to be calculated, but the existing classification methods only consider the similarity between feature words and categories and does not involve the semantic similarity between feature words. In this paper, a new classification model LDA (Latent Dirichlet Allocation) — KNN (K-Nearest Neighbor) is proposed. LDA is used to solve the problem...
Entity relation extraction (RE) is one of the important research fields in information extraction, we regard RE as a classification problem in this paper. This paper presents a novel approach, conditional random fields (CRFs)-based machine learning is used to extract entity relation between entities from Chinese texts, ten features have been designed for entity relation extraction, which includes...
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