Conference summary generation method and device, electronic equipment and storage medium
By converting multi-modal input data into standardized text data and using large language models to extract meeting information, the traditional manual recording of meeting minutes is solved, and the problem of time-consuming and labor-intensive recording of meeting minutes is easily caused, and the process of automatic generation of meeting minutes is improved, and work efficiency and information accuracy are improved.
CN119720980APending Publication Date: 2025-03-28INSPUR TIANYUAN COMM INFORMATION SYST CO LTD
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Patent Information
- Application Number
- CN202411521001.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-29
- Publication Date
- 2025-03-28
AI Technical Summary
Technical Problem
Traditional manual recording of meeting minutes is time-consuming and labor-intensive, and it is prone to omissions and misunderstandings.
Method used
By converting the multimodal input data into standardized text data, and using a pre-trained large language model to extract meeting information, fill in the meeting minutes template, generate the meeting minutes framework, and finally input the generative language model to generate the minutes text.
Benefits of technology
It realizes automatic generation of meeting minutes, reduces manual intervention, improves work efficiency, ensures the accuracy and consistency of information processing, and avoids errors and omissions in manual recording.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention provides a conference summary generation method and device, electronic equipment and a storage medium, and belongs to the technical field of data processing, and the method comprises the steps: converting multi-modal input data into standardized text data; the text data is input into a pre-trained large language model, conference information output by the large language model is obtained, and the conference information comprises conference issues, decision content, task allocation information and conference participant responsibility division; filling a preset conference summary template with the conference information to obtain a conference summary framework; and inputting the conference summary framework into the generative language model to obtain a summary text output by the generative language model. According to the scheme, the input data of multiple modes are uniformly processed, effective integration of different input sources is ensured and accurately reflected in the generated conference summary, key information in the conference is accurately extracted from the multi-mode input, errors and omissions of manual recording are avoided, the automation level of conference management is improved, and the working efficiency is improved.
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