User-defined database interaction dialogue generation method and system

A database and self-defined technology, applied in the fields of electronic digital data processing, special data processing applications, digital data information retrieval, etc., can solve problems such as unfriendly experience, rigid and inflexible, unable to combine dialogue scenes, etc., to achieve friendly interaction, The effect of improving user experience

Active Publication Date: 2019-08-06
BEIJING UNIV OF POSTS & TELECOMM
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But this method is rigid and inflexible. Users can only see a fixed template style, which cannot be well combined with the actual dialogue scene, so the user experience is not friendly enough.

Method used

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  • User-defined database interaction dialogue generation method and system
  • User-defined database interaction dialogue generation method and system
  • User-defined database interaction dialogue generation method and system

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Embodiment Construction

[0050]Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0051] The mainstream method of natural language generation is realized based on manually formulated templates, and there is no database interaction mechanism, which prevents the meaning and value of many information from being fully utilized. For example, in the scene of booking movie tickets, if there is no perfect Without a proper database query mechanism, information such as the price, time, and location of movie tickets cannot be accurately and timely fed back to users and used as the basis for booking movie tickets. This is ...

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Abstract

The invention discloses a user-defined database interaction dialogue generation method and system, and the method comprises the steps of obtaining an action of a previous dialogue round, receiving a text inputted by a user if the action is a receiving operation action, and extracting an intention and an entity of the text inputted by the user through a natural language understanding module to update a dialogue state so as to generate the current dialogue information; converting the updated dialogue state into a binary vector, synchronously updating the binary vector into the historical dialogue information, and generating an execution action according to the current dialogue information and the historical dialogue information; if the execution action is not the receiving operation action,judging whether the execution action needs to retrieve the database or not; if yes, taking the user expectation as a retrieval condition to retrieve the database, and fusing a retrieval result with apreset template to generate a reply action for the user; if not, generating a reply action to the user directly by selecting any one of the predefined templates. According to the method, the user autonomously selects a database query result, so that the user experience is improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and a system for generating a dialog for user-defined database interaction. Background technique [0002] In recent years, with the vigorous development of the artificial intelligence industry, human-computer dialogue, as a sub-direction in the field of artificial intelligence, has attracted more and more attention. In layman's terms, human-computer dialogue technology is to allow human natural language to interact with computers in real time. The task-oriented human-computer dialogue technology can be applied to business scenarios such as booking hotels, meals, air tickets, and train tickets, and has high application value and commercial value. Traditional task-based multi-turn dialogue systems mainly include the following four modules: natural language understanding, dialogue state tracking, strategy formulation, and natural language generation. Among ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2452G06F16/2457
CPCG06F16/24522G06F16/24575
Inventor 鄂海红宋美娜牛佩晴陈忠富程瑞肖思琪周筱松
Owner BEIJING UNIV OF POSTS & TELECOMM
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