The invention provides a
knowledge graph Chinese
question answer retrieval method based on a
dynamic programming algorithm. The method aims at modeling the original
question answering process comprising three substeps into the same process in a unified mode, the entity recognition process and the
question answer retrieval process are modeled with a same model by integrating thoughts of a state
machine in form language, the entity recognition process is modeled into the process of transferring the state of the
system from the original state 0 to the state 1, and the
question answer retrieval process is modeled into the process of transferring the state from the state 1 to the state 2. The precise and the scope of an answer are guaranteed, and the overall
question answering process can be subjected to unified modeling macroscopically. In addition, the target entity transferring process in the
question answering process is modeled into the state transferring process in the state
machine,a transfer entity is modeled to be in an
intermediate state, and a final answer is modeled to be in a termination state. On the basis, the transfer process of all the states achieves decision supporting as a whole through the
dynamic programming algorithm, and meanwhile the operation efficiency of the
system is guaranteed.