Question and answer method, table question and answer model training method and device, equipment and medium
By converting table documents into coding formats and generating table questions, and entering a pre-trained table question and answer model, the problem of low utilization of complex table data by natural language models is solved, and more efficient table information utilization and question-answer accuracy are achieved.
CN120337939APending Publication Date: 2025-07-18HANGZHOU ALICLOUD FEITIAN INFORMATION TECH CO LTD
Patent Information
- Application Number
- CN202410039472.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-01-10
- Publication Date
- 2025-07-18
Smart Images
Figure CN120337939A_ABST
Abstract
The invention provides a question and answer method, a table question and answer model training method and device, equipment and a medium, and relates to the technical field of artificial intelligence. The method comprises the following steps: selecting a target table of which table information is matched with a natural language question from a plurality of tables to be selected, wherein the tables to be selected are in a coding format; generating a corresponding table question based on the natural language question and table information of the target table; and inputting the generated table question into a pre-trained table question and answer model to obtain a question and answer result corresponding to the natural language question. According to the technical scheme, the utilization rate of the table information in the table question and answer model can be increased, and the complex table and multi-table question and answer ability is improved.
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Citation Information
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