Introducing dependency structure for answer extraction in Chinese QA system

This paper presents a novel approach toward high precision answer extraction algorithm for Chinese natural language question answering system. Dependency structure (DS) is introduced to provide more syntactical information. The hybrid approach for constructing DS from statistical parsing result and rule-based headword detection is described. An answer extraction algorithm based on the similarity of dependency structure is proposed. An experimental system for Chinese question answering is implemented. A TREC-like Chinese QA test set is built for evaluation purpose. And the preliminary experimental results show promisingly enhancement on precision.