Abstract: The present disclosure provides a semantic analysis method and apparatus based on artificial intelligence. The method includes: matching input information to be processed with a preset semantic template, in which the preset semantic template is generated according to semantic slot information and equipment information corresponding to an application scenario; when the input information to be processed is successfully matched with the preset semantic template, converting the input information to formative data according to a target semantic template successfully matched with the input information; normalizing the formative data and generating a semantic analysis result corresponding to the input information.

Abstract: The present disclosure provides a semantic disambiguation method, a semantic disambiguation device, a server and a storage medium. The method includes the following. Semantic analysis is performed on a current dialog message input by a user. It is determined, based on an analysis result, whether a current service field corresponding to the current dialog message is an ambiguous field. When the current service field is the ambiguous field, disambiguation is performed on the current service field based on one or more predetermined historical service fields corresponding to one or more historical dialog messages input by the user.

Abstract: The present disclosure provides a semantic disambiguation method, a semantic disambiguation device, a server and a storage medium. The method includes the following. Semantic analysis is performed on a current dialog message input by a user. It is determined, based on an analysis result, whether a current service field corresponding to the current dialog message is an ambiguous field. When the current service field is the ambiguous field, disambiguation is performed on the current service field based on one or more predetermined historical service fields corresponding to one or more historical dialog messages input by the user.

Abstract: The present disclosure provides a semantic analysis method and apparatus based on artificial intelligence. The method includes: matching input information to be processed with a preset semantic template, in which the preset semantic template is generated according to semantic slot information and equipment information corresponding to an application scenario; when the input information to be processed is successfully matched with the preset semantic template, converting the input information to formative data according to a target semantic template successfully matched with the input information; normalizing the formative data and generating a semantic analysis result corresponding to the input information.