Intention interaction system based on multi-dimensional government affair item knowledge base
An interactive system and knowledge base technology, applied in character and pattern recognition, instruments, electronic digital data processing, etc., can solve problems such as difficulty in finding relevant matters, complicated use methods and procedures, and complicated government service network design, so as to achieve convenient handling. The effect of ensuring the recognition accuracy and recall rate, and ensuring the quality of data sources
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Embodiment 1
[0063] combine figure 1 and figure 2 , an intent interaction system based on a multi-dimensional government affairs knowledge base, including:
[0064] The interactive interface unit provides a communication bridge between the terminal interactive interface and the terminal user, and realizes multimedia multi-modal interaction through the support of the underlying artificial intelligence algorithm;
[0065] The interactive engine unit helps end users use and handle corresponding government services through the interactive interface unit through artificial intelligence technology based on natural language understanding and analysis in the process of handling government services; the AI capability unit is used for training tasks, reasoning The preprocessing of the data required by the task and the intention of the neural network model are trained to form a training model. The AI capability unit includes a knowledge extraction module, a knowledge definition module, a data l...
Embodiment 2
[0090] On the basis of Example 1, combined with image 3 , the workflow of the interactive system is as follows:
[0091] S1. The human-computer interaction module generates the first text through the data preprocessing module through the collected image to be processed, the voice to be processed and the text to be processed through the interactive interface unit, and transmits the first text to the interaction engine unit for recognition engine processing ;
[0092] S2. Feedback the result of the identification engine processing in S1 to the user. If the user is satisfied, remark the result and send it into the candidate knowledge training set for storage.
[0093] S3. Feedback the results of S1’s recognition engine processing to the user. If the user is not satisfied, the system will give secondary feedback on the target handling items, and re-label and enter the candidate knowledge training set for screening, and the users collected by the user portrait module The portrai...
Embodiment 3
[0096] combine Figure 5 , the workflow of the interaction engine unit is as follows:
[0097] 1) The interaction engine unit performs intent recognition on the training model produced by the AI capability unit and the first text generated by the interactive interface unit to form an intent list, and combines the intent list with the user portrait to produce the first confidence level intent target, the intent The supervision module supervises the first confidence intention target;
[0098] 2) The first confidence intention target is screened through multiple rounds of interaction nodes and interaction paths in turn, and the next-hop node of the intention target is found according to the first word slot information in the text, and the interaction information is returned according to different nodes, combined with the interaction information Answer the content and find the target next-hop node. If the target next-hop node is not found, then return to multiple rounds of inte...
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