公开(公告)号：US12292905B2

公开(公告)日：2025-05-06

申请号：US18095196

申请日：2023-01-10

Applicant: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

Inventor： Haifeng Sun ,  Zirui Zhuang ,  Bing Ma ,  Jingyu Wang ,  Cheng Zhang ,  Tong Xu ,  Jing Wang

IPC: G06F17/00 ,  G06F16/3329 ,  G06F16/334 ,  G06N3/08

Abstract: The multi-turn dialogue system based on retrieval includes the following modules: a representation module, a matching module, an aggregation module and a prediction module; the multi-turn dialogue method based on retrieval includes the following steps: (1) by a representation module, converting each turn of dialogue into a cascade vector of the dialogue, and converting a candidate answer into a cascade vector of the candidate answer; (2) by a matching module, dynamically absorbing context information based on a global attention mechanism, and calculating a matching vector; (3) by aggregation module, obtaining a short-term dependence information sequence and a long-term dependence information sequence; (4) by a prediction module, calculating the matching score of the context and candidate answer involved in the matching; (5) selecting a candidate answer with the highest matching score as a correct answer.

公开(公告)号：US11909592B2

公开(公告)日：2024-02-20

申请号：US18115453

申请日：2023-02-28

Applicant: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

Inventor： Jingyu Wang ,  Qi Qi ,  Zirui Zhuang ,  Yuebin Guo ,  Lingqi Guo ,  Tong Xu ,  Jing Wang

IPC: H04L41/0894 ,  H04L41/08

CPC classification number: H04L41/0894 ,  H04L41/0886

Abstract: A method for multi-policy conflict avoidance in an autonomous network comprising: collecting network state information; acquiring a set of multiple policies to be verified; constructing a policy ordering space tree containing all multi-policy execution sequences; performing a depth-first traversal on the policy ordering space tree, extracting a multi-policy execution sequence to be verified, then constructing an initial simulation data plane, injecting each policy in the multi-policy execution sequence into the simulation data plane one by one in sequence, and storing a simulation data plane after each policy is inserted; detecting whether there is a conflict in the simulation data plane generated after each policy is executed, inferring dependencies among multiple policies in the conflict policy sequence, pruning the policy ordering space tree, to efficiently select and update the multi-policy execution sequence avoiding conflicts.

公开(公告)号：US20230401243A1

公开(公告)日：2023-12-14

申请号：US18095196

申请日：2023-01-10

Applicant: BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS

Inventor： Haifeng Sun ,  Zirui Zhuang ,  Bing Ma ,  Jingyu Wang ,  Cheng Zhang ,  Tong Xu ,  Jing Wang

IPC: G06F16/332 ,  G06F16/33 ,  G06N3/08

CPC classification number: G06F16/3329 ,  G06F16/3347 ,  G06F16/3344 ,  G06N3/08

Abstract: The multi-turn dialogue system based on retrieval includes the following modules: a representation module, a matching module, an aggregation module and a prediction module; the multi-turn dialogue method based on retrieval includes the following steps: (1) by a representation module, converting each turn of dialogue into a cascade vector of the dialogue, and converting a candidate answer into a cascade vector of the candidate answer; (2) by a matching module, dynamically absorbing context information based on a global attention mechanism, and calculating a matching vector; (3) by aggregation module, obtaining a short-term dependence information sequence and a long-term dependence information sequence; (4) by a prediction module, calculating the matching score of the context and candidate answer involved in the matching; (5) selecting a candidate answer with the highest matching score as a correct answer.