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Dialogue state tracking method and system based on knowledge enhancement and context awareness

A context and state technology, applied in text database query, unstructured text data retrieval, instruments, etc., can solve problems such as unrealistic, difficult to set hyperparameters, modeling of unreliable relationship between slots, etc., and achieve the goal of improving accuracy Effect

Pending Publication Date: 2022-05-31
FUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although SAS models the relationship between slots by calculating a slot similarity matrix, it involves several hyperparameters that are difficult to set, and if two slots are considered to be related, only their similarity coefficient is fixed to 1 , which is obviously unrealistic
Although STAR uses multi-head attention to discover the relationship between slots, the relationship between slots calculated by the attention mechanism is equivalent to a weighted complete graph, which will generate a lot of noise (unnecessary connections) and affect model performance.
T5-DST uses the enhanced slot description to make the model better discover the relationship between slots, but it does not explicitly model the relationship between slots

Method used

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  • Dialogue state tracking method and system based on knowledge enhancement and context awareness
  • Dialogue state tracking method and system based on knowledge enhancement and context awareness
  • Dialogue state tracking method and system based on knowledge enhancement and context awareness

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Embodiment Construction

[0105] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0106] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0107] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to a dialogue state tracking method and system based on knowledge enhancement and context awareness, and the method comprises the following steps: A, collecting dialogue context and dialogue state data, and constructing a dialogue training set; step B, using the training set to train a deep learning network model based on knowledge enhancement; and C, sequentially inputting dialogue data of the user and the system into the deep learning network model, and outputting a current dialogue state. The method and the system are beneficial to improving the accuracy of dialogue state tracking.

Description

technical field [0001] The invention belongs to the field of natural language processing, and in particular relates to a dialogue state tracking method and system based on knowledge enhancement and context awareness. Background technique [0002] Dialogue State Track (Dialogue State Track, DST) is an important part of the task-based dialogue task process in natural language processing, and its basic goal is to obtain the current dialogue state according to the dialogue context. Dialogue state is a summary of the user's goal from the beginning of the dialog to the current dialog, usually in the form of a combination of multiple sets of slot-value pairs, and sometimes includes information such as the domain to which the dialog belongs, user intent, etc. Dialogue state tracking refers to the process of inferring and updating the current dialog state by combining information such as dialog history, current dialog, and previous round of dialog status. With the continuous progres...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/33G06F16/36
CPCG06F16/3329G06F16/3344G06F16/36
Inventor 陈羽中林宇航
Owner FUZHOU UNIV