公开(公告)号：US20240256789A1

公开(公告)日：2024-08-01

申请号：US18634351

申请日：2024-04-12

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Bin HE ,  Yasheng WANG ,  Yitong LI ,  Fei MI

IPC: G06F40/35 ,  G06F40/279 ,  G06F40/40

CPC classification number: G06F40/35 ,  G06F40/279 ,  G06F40/40

Abstract: This application discloses a response determining method. The method includes: obtaining a to-be-responded first user statement; determining first state information of the first user statement based on the first user statement by using a state determining network, where the first state information includes a first dialog type of the first user statement; and inputting the first user statement and the first dialog type into a response generation network, to obtain a response corresponding to the first user statement.

公开(公告)号：US20220075958A1

公开(公告)日：2022-03-10

申请号：US17530197

申请日：2021-11-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Yulong ZENG ,  Jiansheng WEI ,  Yasheng WANG ,  Liqun DENG ,  Anqi CUI

IPC: G06F40/30 ,  G06N5/00 ,  G06F40/289

Abstract: The present invention discloses a missing semantics complementing method in the field of natural language processing in the artificial intelligence field, including: obtaining a question statement and a historical dialog statement; resolving a to-be-resolved item in the question statement based on the historical dialog statement and location information of the to-be-resolved item, to obtain a resolved question statement; determining whether a component in the question statement is ellipted, and if a component in the question statement is ellipted, complementing the ellipted component based on the historical dialog statement, to obtain a question statement after ellipsis resolution; merging the resolved question statement and the question statement after ellipsis resolution, to obtain a merged question statement; and determining a target complemented question statement from the resolved question statement, the question statement after ellipsis resolution, and the merged question statement.

公开(公告)号：US20230084583A1

公开(公告)日：2023-03-16

申请号：US17989756

申请日：2022-11-18

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yulong ZENG ,  Yasheng WANG ,  Yadao WANG

IPC: G10L15/18 ,  G10L15/06 ,  G10L15/22

Abstract: The technology of this application relates to a response method in a human-computer dialogue, a dialogue system, and a storage medium, and belongs to the field of artificial intelligence. In a process of a dialogue between a user and a machine, a user intent of a current dialogue is determined based on an expected user intent associated with a sentence replied by the machine to the user in a previous dialogue, so that a response is made. Because processing logic for an expected user intent is introduced, accuracy of a generated response sentence is improved.

公开(公告)号：US20190251084A1

公开(公告)日：2019-08-15

申请号：US16396381

申请日：2019-04-26

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Yasheng WANG ,  Yang ZHANG ,  Hongbo ZHANG

IPC: G06F16/2455 ,  G16H10/60

CPC classification number: G06F16/2455 ,  G06F16/00 ,  G16H10/60

Abstract: Embodiments of the present invention relate to the field of computer technologies, and provide a search method and apparatus to resolve a problem that a reference text, of a text in a professional field, that is determined by using the prior art has relatively low accuracy. The method includes: obtaining n named entities in a current to-be-analyzed target case (S300); determining a first characteristic and a second characteristic (S301); generating, based on the first characteristic and the second characteristic and according to a preset vector generation rule, a target characteristic vector corresponding to the target case (S302); obtaining each historical case in a database and a characteristic vector corresponding to each historical case (S303); and separately calculating a similarity between the target characteristic vector and the characteristic vector corresponding to each historical case, and selecting a historical case whose similarity result meets a preset condition as a reference case (S304).

公开(公告)号：US20240220730A1

公开(公告)日：2024-07-04

申请号：US18604138

申请日：2024-03-13

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Xiaojun MENG ,  Yasheng WANG ,  Xin JIANG ,  Qun LIU

IPC: G06F40/30

CPC classification number: G06F40/30

Abstract: A text data processing method, a neural-network training method, and related devices are provided. The methods may be applied to the text data processing field in the artificial intelligence field. The method includes: obtaining a to-be-processed text, where the to-be-processed text includes a plurality of characters; and processing the to-be-processed text by using a target model to obtain a prediction result, where the prediction result indicates to split the to-be-processed text into a plurality of target character sets, the prediction result further includes a plurality of first labels, one first label indicates semantics of one target character set, and the plurality of first labels are used to determine an intention of the to-be-processed text.

公开(公告)号：US20220147715A1

公开(公告)日：2022-05-12

申请号：US17526832

申请日：2021-11-15

Applicant: Huawei Technologies Co., Ltd. ,  TSINGHUA UNIVERSITY

Inventor： Yasheng WANG ,  Xin JIANG ,  Xiao CHEN ,  Qun LIU ,  Zhengyan ZHANG ,  Fanchao QI ,  Zhiyuan LIU

IPC: G06F40/295

Abstract: This application relates to the field of artificial intelligence, and provides a text processing method, a model training method, and an apparatus. The method includes: obtaining target knowledge data; processing the target knowledge data to obtain a target knowledge vector; processing to-be-processed text to obtain a target text vector; fusing the target text vector and the target knowledge vector based on a target fusion model, to obtain a fused target text vector and a fused target knowledge vector; and processing the fused target text vector and/or the fused target knowledge vector based on a target processing model, to obtain a processing result corresponding to a target task. The foregoing technical solution can improve accuracy of a result of processing a target task by the target processing model.