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The rapid growth of data mining generates an ever-increasing demand for automatic information extraction from Chinese texts. However, existing approaches in this domain focus on well-structured Chinese texts and therefore have difficulties in dealing with semi-structured Chinese texts which do not conform to strict syntactic structures. We propose in this paper an approach to semi-automatic data extraction and cleansing for these texts. Preliminary experimental results show that, with modest manual intervention, it can effectively extract information from raw semi-structured Chinese texts collected from e-business applications.