5 results about "Professional degree" patented technology

The invention discloses an intelligent error correction and style optimization system and method for business English writing, and relates to the technical field of natural language processing and artificial intelligence, and the system comprises the following components: a user interaction module, a data storage module, a language ability evaluation module and a self-adaptive error correction feedback and style optimization module. Through a multi-dimensional evaluation algorithm based on dynamic weight adjustment, historical writing data of a user is deeply analyzed, an evaluation system including four dimensions of grammar errors, vocabulary application, sentence structures and business profession is constructed, the system comprehensively evaluates the language ability of the user, and the user experience is improved. And the evaluation weight is dynamically adjusted according to the capability improvement rates of the users in different dimensions, so that the language capability levels of the users are more accurately divided, and the system can provide personalized error correction feedback and style optimization suggestions for the users with different language levels based on the evaluation result.

The invention belongs to the technical field of artificial intelligence and law crossing, and particularly provides a law intelligent question-answering method and system based on multi-agent dynamic role scheduling and mixed retrieval, electronic equipment and a storage medium, and the method comprises the following steps: generating a structured task chain of a plurality of to-be-retrieved sub-tasks; generating a structured evidence set; constructing a multi-intelligent collaborative generation architecture; and generating a legal consultation reply based on the structured evidence set by adopting a multi-intelligent collaborative generation architecture. According to the method, role adapter scheduling logic is innovatively introduced, the system can firstly analyze whether a user request needs'right protection practical operation ', 'judgment prediction' or'theoretical learning 'like'law partners', and then the corresponding target adapter is dynamically activated. The dynamic scheduling mechanism endows the system with adaptive ability for different legal scenes, ensures that each answer is executed by the most suitable expert role, and significantly improves the professional degree of service.

The invention discloses an intelligent customer service method and system, and the method comprises the steps: carrying out the intention recognition and slot filling of user input, and obtaining structured intention information; executing dynamic intention management on the structured intention information to obtain a confirmation intention and knowledge enhancement information; executing the business process based on the confirmation intention, and combining the knowledge enhancement information in the execution process to obtain a business execution result; according to the method, the service logic is solidified through the preset service processing atlas in the execution engine, and then the illusion content is eradicated through accurate scheduling of the intelligent agent, so that the reply content is 100% accurate and reliable; business results, dialogue history and enhanced knowledge are fused, reply information is complete and deep, expert-level complete reply is provided, and user experience and professional degree are improved.

The application belongs to the technical field of artificial intelligence and law, and specifically provides a legal intelligent question and answer method and system based on multi-agent dynamic role scheduling and mixed retrieval, an electronic device and a storage medium, the method comprising: generating a structured task chain of a plurality of to-be-retrieved sub-tasks; generating a structured evidence set; constructing a multi-intelligent collaborative generation architecture; and generating a legal consultation reply based on the structured evidence set by using the multi-intelligent collaborative generation architecture. The application innovatively introduces role adapter scheduling logic, and the system can analyze whether the user request is "right protection operation", "judgment prediction" or "theoretical learning" like a "law firm partner", and then dynamically activate the corresponding target adapter. This dynamic scheduling mechanism gives the system the ability to adapt to different legal scenarios, ensuring that each answer is executed by the most suitable "expert role", significantly improving the professional degree of service.

The application provides a medical information publishing method and system based on artificial intelligence. The method can input the Nth semantic information and the Nth determined plurality of information types into a medical information conversion model to determine the Nth medical information for medical staff and the Nth medical information for patients corresponding to the original medical information; perform quality assessment on the Nth medical information for medical staff according to the professional degree, the seriousness of the emotional tendency, and the accuracy of the Nth medical information for medical staff to obtain a first quality assessment value; perform quality assessment on the Nth medical information for patients according to the understandability, the friendliness of the emotional tendency, and the accuracy of the Nth medical information for patients to obtain a second quality assessment value; and determine a third quality assessment value according to the matching degree of the medical staff version sub-information of each information type and the patient version sub-information of the corresponding information type, so that the medical information published by the hospital has a high adaptation degree for medical staff and patients.