Intention recognition method and device capable of on-line error correction update
An identification device and identification method technology, applied in special data processing applications, instruments, unstructured text data retrieval, etc., can solve problems such as the inability to meet the needs of users' differentiated intent identification, and the inability of the intent identification model to be updated online for error correction, etc. Achieve the effect of fast error correction and update requirements, high accuracy, and improved satisfaction
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Embodiment 1
[0056] Such as figure 1 As shown, the intention identification device capable of online error correction update in this embodiment includes:
[0057] The user interaction module includes an acquisition text unit and an output display unit; the acquisition input unit is used to acquire the text information input by the user; the output display unit is used to display the output result fed back by the client or server through the display screen;
[0058] The intention identification module includes an intention identification unit 1, an intention identification unit 2, and a model update unit; the intention identification unit 1 is used to match the user online error correction update corpus in the storage module according to the input text information , if it cannot be recognized, the text to be recognized is passed into the intention recognition unit 2; the intention recognition unit 2 is used to identify its intention through the unit according to the text information input b...
Embodiment 2
[0066] This embodiment is an intention recognition method that can be updated online with error correction applied to the device in Embodiment 1, such as figure 2 As shown, it includes the following steps:
[0067] Step 1. Get the text:
[0068] The method includes obtaining multimodal input input by the user, and performing multimodal input conversion on the multimodal input, converting it into text, or directly obtaining the text input input by the user;
[0069] Step 2. Preliminary intent recognition:
[0070] The text obtained in step 1 is first recognized by the intention recognition unit 1. If the user’s intention cannot be recognized, then use the intention recognition basic model trained in the intention recognition unit 2 in advance according to the task requirements and the task annotation corpus to perform intention recognition, and obtain candidate intent;
[0071] Step 3. Interactive error correction update with the user:
[0072] Feedback the candidate inten...
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