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: 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: The present disclosure provides a method and an apparatus for updating a mining model, which are applied to the mining model in a semantic analysis system. The method includes: acquiring a semantic analysis result obtained by analyzing a query through the semantic analysis system; generating a training format corpus according to the semantic analysis result, in which the training format corpus includes a first format corpus and a second format corpus; and performing an iterative updating on the mining model based on the first format corpus and the second format corpus, in which the first format corpus is configured to label a semantic feature in the query, and the second format corpus is configured to label a template feature in the query. With the present disclosure, a semantic analysis effect of the semantic analysis system may be improved effectively.

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 a device for processing a speech instruction are provided. With the method, a speech instruction is recognized so as to generate text information corresponding to the speech instruction. Semantic analysis is performed on the text information so as to obtain a semantic analysis result of the text information. Whether a corresponding operation is executable based on the semantic analysis result of the text information is determined. If it is determined that the corresponding operation is not executable based on the semantic analysis result of the text information, whether the text information belongs to instruction text data is determined. If yes, the text information is corrected so as to obtain corrected text information. Semantic analysis is performed on the corrected text information, and the corresponding operation is executed according to a semantic analysis result of the corrected text information.

Abstract: A method and an apparatus for processing a semantic analysis result based on AI are provided. With the method, the weight of the analysis text in the corresponding analysis result is determined according to the preset weight configuration information; the semantic confidence of the analysis result is detected via the pattern matching algorithm; the analysis type of the analysis texts is determined by the first classification model, and the field matching confidence of the analysis texts over the analysis result is determined by the second classification model; and then the analysis quality data of the analysis result is obtained according to the weights, the semantic confidence, the analysis type and the field matching confidence.

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: The present disclosure provides a method and an apparatus for updating a mining model, which are applied to the mining model in a semantic analysis system. The method includes: acquiring a semantic analysis result obtained by analyzing a query through the semantic analysis system; generating a training format corpus according to the semantic analysis result, in which the training format corpus includes a first format corpus and a second format corpus; and performing an iterative updating on the mining model based on the first format corpus and the second format corpus, in which the first format corpus is configured to label a semantic feature in the query, and the second format corpus is configured to label a template feature in the query. With the present disclosure, a semantic analysis effect of the semantic analysis system may be improved effectively.

Abstract: A method and a device for processing a speech instruction are provided. With the method, a speech instruction is recognized so as to generate text information corresponding to the speech instruction. Semantic analysis is performed on the text information so as to obtain a semantic analysis result of the text information. Whether a corresponding operation is executable based on the semantic analysis result of the text information is determined. If it is determined that the corresponding operation is not executable based on the semantic analysis result of the text information, whether the text information belongs to instruction text data is determined. If yes, the text information is corrected so as to obtain corrected text information. Semantic analysis is performed on the corrected text information, and the corresponding operation is executed according to a semantic analysis result of the corrected text information.

Abstract: A method and an apparatus for processing a semantic analysis result based on AI are provided. With the method, the weight of the analysis text in the corresponding analysis result is determined according to the preset weight configuration information; the semantic confidence of the analysis result is detected via the pattern matching algorithm; the analysis type of the analysis texts is determined by the first classification model, and the field matching confidence of the analysis texts over the analysis result is determined by the second classification model; and then the analysis quality data of the analysis result is obtained according to the weights, the semantic confidence, the analysis type and the field matching confidence.

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.