Abstract: The present application discloses a method of knowledge sharing between dialogue systems, including: receiving, by a first dialogue system, a knowledge sharing request sent by an external dialogue system, wherein the knowledge sharing request comprises at least feature information of a knowledge point to be shared by the external dialogue system; parsing the knowledge sharing request to determine the feature information of the knowledge point to be shared; and adding the feature information of the knowledge point to be shared to a knowledge base of the first dialogue system to form a shared knowledge base. The embodiment of the present application realizes the sharing of knowledge among different dialogue systems by sharing knowledge points among dialogue systems, and meets the cross-domain dialogue needs of users for dialogue robots to the greatest extent while minimizing costs.

Abstract: A distributed computing method and distributed computing system are provided. Said distributed computing method includes: distributedly computing an input task stream; reducing the computation results of said distributed computation; and storing the reduced computation results in reduction buffers. Said distributed computing system includes distributed computing device which are used for the distributed computation, multiple reduction units which are used for reducing the computation results of said distributed computation, one or more reduction buffer which are used for storing reduced computation results, and a reduction control device which is used for controlling the reduction from said computation results to said reduction buffers and the access to the reduction buffer.