Abstract: This application provides a switching method, a communication apparatus, and a communication system. The method includes: When a user plane network element that provides services for a first terminal device is switched, a target user plane network element after switching sends, to a session management network element, information indicating that the user plane network element of the first terminal device is switched, and includes tunnel information of the target user plane network element after the switching in the information. In this way, the session management network element may provide the tunnel information of the target user plane network element of the first terminal device after the switching to a user plane network element of a second terminal device in a timely manner, to ensure correct switching.

Abstract: The present disclosure provides a method for a human-computer interaction, an apparatus for a human-computer interaction, a device, and a storage medium, and the present disclosure relates to the field of artificial intelligence, such as deep learning and voice. A specific implementation includes: acquiring a voice command; performing voice recognition on the voice command to determine a corresponding voice text; sending, in response to satisfying a preset information sending condition, the voice text to a cloud; receiving a resource for the voice command returned from the cloud; and responding to the voice command based on the resource.

Abstract: The disclosure provides a method and an apparatus for recognizing a speech, an electronic device and a storage medium. Based on obtaining target speech information, state information of an application corresponding to the target speech information and contextual information are obtained. Semantic completeness of the target speech information is obtained based on the state information and the contextual information. A monitoring duration corresponding to the semantic completeness is obtained, and it is monitored whether there is speech information within the monitoring duration. Speech recognition is performed on the target speech information based on no speech information being monitored within the monitoring duration.

Abstract: The disclosure discloses a method for semantic recognition, an electronic device, and a storage medium. The detailed solution includes: obtaining a speech recognition result of a speech to be processed, in which the speech recognition result includes a newly added recognition result fragment and a historical recognition result fragment; obtaining a semantic vector of each historical object in the historical recognition result fragment, and obtaining a semantic vector of each newly added object by inputting the semantic vector of each historical object and each newly added object in the newly added recognition result fragment into a streaming semantic coding layer; and obtaining a semantic recognition result of the speech by inputting the semantic vector of each historical object and the semantic vector of each newly added object into a streaming semantic vector fusion layer and a semantic understanding multi-task layer sequentially arranged.

Abstract: A method and apparatus of recognizing a field of semantic parsing information, a device and a readable medium. The method includes: obtaining at least one preset keyword extracting pattern which is in a preset field and used to parse user-input speech data to generate semantic parsing information, each of the at least one preset keyword extracting pattern; obtaining subject weights of keywords according to importance degree identifiers of the keywords in the preset keyword extracting patterns; calculating a subject score of the speech parsing information according to the subject weights of the keywords; recognizing whether the speech parsing information belongs to the preset field according to the subject score of the speech parsing information. The method recognizes the field to which the speech parsing information belongs to ensure correctness of the recognized field, and thereby ensure correctness of operations performed by the App according to the semantic parsing information.

Abstract: An amendment source-positioning method and apparatus, a computer device and a readable medium. The method includes: obtaining a first target word identifying an amendment source and defining parameters of the amendment source, from semantic parsing information of a user-input speech error correction instruction; positioning the amendment source from a to-be-corrected text according to the first target word and the defining parameters. As compared with the template matching and positioning scheme employed in the prior art, the technical solution of the present disclosure can support a speech error correction instruction in any form, and exhibits a more flexible amendment source-positioning manner, thereby effectively improving the amendment source-positioning efficiency.

Abstract: A method and apparatus of recognizing a field of semantic parsing information, a device and a readable medium. The method includes: obtaining at least one preset keyword extracting pattern which is in a preset field and used to parse user-input speech data to generate semantic parsing information, each of the at least one preset keyword extracting pattern; obtaining subject weights of keywords according to importance degree identifiers of the keywords in the preset keyword extracting patterns; calculating a subject score of the speech parsing information according to the subject weights of the keywords; recognizing whether the speech parsing information belongs to the preset field according to the subject score of the speech parsing information. The method recognizes the field to which the speech parsing information belongs to ensure correctness of the recognized field, and thereby ensure correctness of operations performed by the App according to the semantic parsing information.

Abstract: An amendment source-positioning method and apparatus, a computer device and a readable medium. The method includes: obtaining a first target word identifying an amendment source and defining parameters of the amendment source, from semantic parsing information of a user-input speech error correction instruction; positioning the amendment source from a to-be-corrected text according to the first target word and the defining parameters. As compared with the template matching and positioning scheme employed in the prior art, the technical solution of the present disclosure can support a speech error correction instruction in any form, and exhibits a more flexible amendment source-positioning manner, thereby effectively improving the amendment source-positioning efficiency.

Abstract: Embodiments of the present invention provide a data transmission method and a gateway. In this way, a quantity of APNs may be decreased, management on the APN is simplified, no change is required for a network structure, a general APN that needs to return to the subscription home location may be configured flexibly, only performing parsing the home location of the APN is required, and a signaling procedure may be simplified; thereby, a requirement for a processing capacity of a gateway device is reduced.

Abstract: A verification method includes obtaining a Uniform Resource Locator (URL) link from a user terminal. The URL link is generated by a portal server according to obtained user terminal information and includes the user terminal information. The method further includes obtaining the user terminal information included in the URL link and performing a validity check according to user terminal information stored on a network side and the user terminal information included in the URL link. The validity check can be performed on the URL link according to the user terminal information, which prevents different users from accessing a resource through the same correct URL link and avoids occurrence of link theft.