A Chinese Natural Language Interface Based on ALICE
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Abstract
The knowledge organization of ALICE and its deduction mechanism are analyzed. Some shortcomings can arise when ALICE is used in processing Chinese. Relevant solutions on extended semantic grammar, pattern-matching algorithm and dynamic answer extraction are proposed. A domain independent Chinese natural language interface CNLIS is implemented based on ALICE. Experiments prove that CNLIS can be easily combined with domain knowledge and achieve 91.45% precision and 91.70% recall.
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