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We present a ME (Maximum Entropy) model for Semantic Chunk Annotation in a Chinese Question and Answer (Q&A) system. The model was derived from a corpus of real world questions, which are collected from some discussion groups on the Internet. The questions are supposed to be answered by other people, so the questions are very complex. The semantic chunks were introduced. Feature for the model...
We introduce a combination model as conjunctive structures detection for question pre-processing in Q&A system. Conjunctive structures detection can be treated as a pattern recognition problem. The rough set theory is used for selecting effective features and the ME (maximum entropy) model is used for building a pattern classifier to get high accuracy. The training and testing data are collected...
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