Named entity determination method, electronic equipment and computer storage medium
A technology for naming entities and determining methods, applied in the computer field, can solve problems such as inability to obtain information, and achieve the effects of improving accuracy, improving efficiency, and accurately collecting
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Embodiment 1
[0019] In this embodiment, it will be described by taking the method as an example where the method can be applied to an intelligent dialogue system or other self-service systems (such as a self-service inquiry system). The intelligent dialogue system can conduct multiple rounds of dialogues with the user. During the dialogue, it uses an external knowledge base to perform fine-grained text recognition on each slot in the named entity (such as each character in the named entity), and combines multiple rounds of named entity Accumulation of information and selection of dialogue strategies to obtain accurate named entity information.
[0020] In a usage scenario, such as Figure 1A As shown, the user performs voice interaction with the intelligent dialogue system through the intelligent device 100 (such as a smart phone, a smart speaker, etc.). The intelligent dialogue system includes a data processing device 200 and a knowledge base 300 for data processing, and candidate knowled...
Embodiment 2
[0043] refer to Figure 2A , shows a flow chart of the steps of the method for determining a named entity in Embodiment 2 of the present application.
[0044] In this embodiment, for ease of understanding, before describing the steps of the method in detail, the framework for implementing the method is briefly described as follows:
[0045] The structure of the intelligent dialogue system is as follows: Figure 2B As shown, it includes several main parts such as intent recognition module, dialog strategy module and state accumulation module. Among them, the intention recognition module is mainly used for intention extraction, knowledge point extraction and matching. The state accumulation module is mainly used for state accumulation of named entity information and state accumulation of system actions. The dialog strategy module is mainly used to determine the dialog strategy and answer sentences.
[0046] In an example, the intent recognition module includes an extraction ...
Embodiment 3
[0109] refer to image 3 , shows a structural block diagram of an apparatus for determining a named entity in Embodiment 3 of the present application.
[0110] In this embodiment, an apparatus for determining a named entity is provided, including:
[0111] The first acquiring module 302 is used to acquire the user's historical dialogue information and current reply sentence;
[0112] The second acquisition module 304 is configured to perform intent extraction and knowledge point extraction on the current reply sentence based on the historical dialogue information, so as to obtain intent information and knowledge points for determining characters in the named entity;
[0113] A matching module 306, configured to match the knowledge point with preset candidate knowledge points to obtain a matching result;
[0114] The determining module 308 is configured to determine the named entity information and the response sentence corresponding to the reply sentence according to the mat...
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