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Dialogue state tracking system and method, and human-machine dialogue device and method

Active Publication Date: 2022-07-15
AISPEECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] Dialogue state classification model: depends on the need for pre-defined slot values, high computational complexity
Dialogue state generation model with independent slot values: high computational complexity, the prediction process of slot values ​​is independent of each other, and no connection is established

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Embodiment Construction

[0032] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments These are some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention. It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict.

[0033] In the present invention, "module", "device", "system", etc. refer to relevant entities applied to a computer, such as hardware, a combination of hardware and softw...

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Abstract

The invention discloses a dialogue state tracking system and method and a human-machine dialogue device and method, wherein the speech state tracking system comprises: a hierarchical sentence encoder configured to perform hierarchical encoding on dialogue history sentences; a coarse-grained decoder configured to The coarse-grained dialogue state is obtained by decoding according to the hierarchical encoding result of the hierarchical sentence encoder; the coarse-grained encoder is configured to perform coarse-grained encoding on the coarse-grained dialogue state; the state decoder is configured to The serialized encoding result and the coarse-grained encoding result determine the serialized dialog state. The present invention represents dialogue states as structured sequences for the first time, and proposes a dialogue state tracking model generated using coarse-grained to fine-grained sequences. The model proposed by the present invention is a generative dialogue state tracking, so it is not necessary to know the slot value in advance, and the dialogue state in the form of sequence can ensure that the slot values ​​are mutually visible when the dialogue state is generated.

Description

technical field [0001] The present invention relates to the technical field of human-machine dialogue, in particular to a dialogue state tracking system and method, and a human-machine dialogue device and method. Background technique [0002] State tracking methods in the prior art include the following two: [0003] (1) Dialogue state classification model: The classification model in the dialogue state tracking method predicts the slot value independently when predicting the dialogue state, and needs to re-encode the dialogue history sentence for each slot. In addition, the classification method needs to know all possible values ​​of the prediction slot in advance, which is unrealistic in practical application scenarios, because there are many possible values ​​corresponding to a slot like 'location', and even the value of some slots is Non-enumerable, the classification method for this case cannot be resolved. [0004] (2) Slot value independent dialogue state generation...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/332G06F40/30G06N3/04G06N3/08
CPCG06F16/3329G06N3/08G06N3/045
Inventor 俞凯陈志
Owner AISPEECH CO LTD