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Natural language processing method based on interaction context

A natural language and context technology, applied in natural language translation, natural language data processing, electronic digital data processing, etc., can solve the problems of low robot intelligence, poor user experience, and large amount of calculation

Active Publication Date: 2021-11-23
上海对岸信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the huge knowledge base, this leads to a huge amount of calculation, which greatly increases the calculation cost, and when encountering confusing expressions, such as "there is a Changchun pharmacy in Changchun City", the word segmentation system is also prone to errors
Regarding semantic determination, since the core vocabulary in the user's language input may have multiple meanings, for example, "potato" can refer to a kind of food or a "potato" video website, so when the existing robot encounters ambiguous words , it is easy to wrongly determine the semantics of the vocabulary
Inefficient and error-prone word segmentation and semantic determination lead to low efficiency and low accuracy of keyword extraction, resulting in low intelligence of robots and poor user experience

Method used

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  • Natural language processing method based on interaction context
  • Natural language processing method based on interaction context
  • Natural language processing method based on interaction context

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Embodiment Construction

[0071] It should be noted that components in the various figures may be shown exaggerated for the purpose of illustration and are not necessarily true to scale. In the various figures, identical or functionally identical components are assigned the same reference symbols.

[0072] Unless otherwise specified, in this application, the quantifiers "a" and "an" do not exclude the scene of multiple elements.

[0073] figure 1An application scenario of the solution according to the present invention is schematically shown, wherein the collection of key elements according to the present invention is schematically illustrated. It should be noted that although the method of the present invention is applied here to a voice assistant on a mobile device, such as a smartphone, the present invention is not limited thereto, but the present invention can also be applied to other devices such as desktop computers, smart home appliances, server , Workstations, airport or train station query t...

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Abstract

The present invention relates to a method for processing natural language based on an interaction context, comprising the following steps: receiving a first natural language input from a user, wherein the first natural language input includes a natural language input provided by the user not in response to a question; analyzing the first natural language input to extract a plurality of key elements from said first natural language input; storing said key elements; receiving a second natural language input from a user; Selecting one or more key elements associated with the second natural language input from the key elements; and generating a natural language output according to the second natural language input and the associated key elements. Through this method, the way for the robot to obtain useful information can be expanded, and the continuity of scenario interaction can also be ensured.

Description

technical field [0001] The present invention generally relates to the field of natural language processing, and in particular relates to a method for processing natural language based on interaction context. Background technique [0002] With the development of computer technology, artificial intelligence robots have begun to emerge in the market, such as Microsoft's "Xiaobing", Apple's "Siri", Baidu's "Durmi" and so on. These artificial intelligence robots are mainly divided into voice assistants and chats. The main function of the former is to provide users with useful information, while the latter aims to chat with users. No matter what kind of robot, it involves natural language processing technology. The natural language processing technology refers to processing the natural language input by the user so that the robot can understand the natural language. [0003] First of all, a major limitation of existing artificial intelligence robots is that these robots interac...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/56G06F40/30G06F40/284
CPCG06F40/284G06F40/30G06F40/56
Inventor 王溪华郝新利
Owner 上海对岸信息科技有限公司