Intention recognition method and device applied to intelligent customer service robot
A technology of intelligent customer service and robots, which is applied in special data processing applications, instruments, unstructured text data retrieval, etc., can solve problems such as the inability to quickly and accurately understand user intentions, and insufficient understanding of chat text semantics, so as to reduce errors and unstructured texts. Comprehensive, accuracy-enhancing effect
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Embodiment 1
[0078] An embodiment of the present invention provides an intention recognition method applied to an intelligent customer service robot, referring to figure 1 As shown, the method includes the following steps:
[0079] S0: Get the user's dialogue text.
[0080] Wherein, the user dialogue may be voice or text, and when the dialogue is voice, the user dialogue may be converted from voice to text before the implementation of the embodiment of the present invention. In addition, the dialogue text may be a long text or a short text, which is not specifically limited in this embodiment of the present invention.
[0081] S1: Perform text error correction on the dialogue text.
[0082] Among them, refer to figure 2 As shown, the specific implementation process of step S1 may include:
[0083] S11: Segment the dialogue text and identify wrong word segmentation in the dialogue text.
[0084] S12: Obtain an error correction word corresponding to the wrong word segmentation, and rep...
Embodiment 2
[0134] As the realization of the intention recognition method applied to the intelligent customer service robot in the first embodiment, the embodiment of the present invention provides an intention recognition device applied to the intelligent customer service robot, refer to Figure 6 As shown, the device includes:
[0135] A text acquisition module 60, configured to acquire the user's dialogue text;
[0136] Intention judging module 62 is used to judge whether intention is included in the dialog text, if included, then execute the processing of entity matching module, if not included, then finish processing, if can't judge, then execute the processing of text expansion module 63;
[0137] The text expansion module 63 is used for carrying out the context expansion of the dialogue text, and performing the processing of the entity matching module for the expanded dialogue text;
[0138] Entity matching module 64, used to identify the named entity set in the dialogue text, and...
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