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Multi-semantics-based extraset word processing method and device

A processing method and technology of out-of-set words, applied in the multi-semantic-based out-of-set words processing method and device field, can solve problems such as the lack of out-of-set words, and achieve the goal of improving user favorability, enriching the dialogue environment, and high relevance Effect

Active Publication Date: 2019-04-12
安徽省泰岳祥升软件有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the existing technology lacks an effective solution to the problem of out-of-set words

Method used

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  • Multi-semantics-based extraset word processing method and device
  • Multi-semantics-based extraset word processing method and device
  • Multi-semantics-based extraset word processing method and device

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Embodiment 1

[0037] In order to solve the problem of out-of-set words in the prior art, the embodiment of the present application provides a method for processing out-of-set words based on multi-semantics, see figure 1 , is a flow chart of a method for processing out-of-set words based on multi-semantics shown in the embodiment of the present application, and the method includes the following steps:

[0038] Step S110, according to the upper and lower words of the out-of-set words in the sentence, the weight of each semantic meaning of the out-of-set words is obtained;

[0039] Out-of-set words usually contain multiple semantics. In this application, the semantics of out-of-set words can be obtained from HowNet (English name HowNet). HowNet is a concept represented by Chinese and English words as the description object , a commonsense knowledge base whose basic content is to reveal the relationship between concepts and the attributes of concepts. In HowNet, a sememe is the most basic and ...

Embodiment 2

[0130] The embodiment of the present application provides an intelligent question answering method, wherein the method for processing out-of-set words based on multi-semantics provided in Embodiment 1 of the present application is applied, Figure 6 It is a flowchart of an intelligent question answering method shown in the embodiment of this application, such as Figure 6 As shown, the method includes the following steps:

[0131] Step S210, obtaining out-of-set words from word segmentation results of unknown questions;

[0132] The intelligent question answering system needs to be trained with the training corpus to have the ability to respond. During the training process, the intelligent question answering system will generate a word vector space for expressing known word vectors based on the known word segmentation; when the user asks the trained intelligent question answering When the system asks questions, the intelligent question answering system performs word segmentat...

Embodiment 3

[0139] The embodiment of the present application provides a device for processing out-of-set words based on multi-semantics, Figure 7 A block diagram of a device for processing out-of-set words based on multi-semantics shown in the embodiment of the present application, such as Figure 7 As shown, the device includes:

[0140] The semantic weight acquisition unit 310 is used to obtain the weight of each semantic of the out-of-set words according to the upper and lower words of the out-of-set words in the sentence;

[0141] Semantic vector generation unit 320, for generating the semantic vector of each semantic according to the word vector of the sememe in each semantic;

[0142] The simulated word vector generating unit 330 is configured to weight and sum the semantic vectors of each semantic according to the weight of each semantic, to generate simulated word vectors.

[0143] As can be seen from the above technical solutions, the embodiment of the present application provid...

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Abstract

The embodiment of the invention provides a multi-semantics-based extraset word processing method and device. The method comprises the following steps: obtaining the weight of each semantic meaning ofan extraset word according to the words of the extraset word in a sentence; generating a semantic vector of each semantic meaning according to the word vector of the prosthetic meaning in each semantic meaning; and according to the weight of each semantic meaning, carrying out weighted summation on the semantic vectors of each semantic meaning to generate a simulation word vector. According to thesimulation word vector generated by the technical scheme provided by the invention, other semantics of the extraset words can be considered while sentence meaning matching is realized, so that semantics expressed by the simulation word vector are richer and fuller, and the simulation word vector adapts to a richer semantic environment; when the simulation word vector is used in the intelligent interaction system, the correlation degree of the response and the question is high, the response accuracy is improved, the system adapts to a richer dialogue environment, the intelligent question and answer system is more intelligent, the user experience is greatly improved, and the problem of foreign word collection in the prior art is solved.

Description

[0001] This application claims the priority of the Chinese patent application submitted to the China Patent Office on June 1, 2018, with the application number 201810556386.2, and the title of the invention is "a method for processing out-of-set words based on multi-semantics, an intelligent question answering method and device", all of which The contents are incorporated by reference in this application. technical field [0002] The present application relates to the technical field of natural language processing, in particular to a method and device for processing out-of-set words based on multi-semantics. Background technique [0003] With the development of natural language processing technology, dialogue systems based on natural language processing technology have also been widely used. Commonly used dialogue systems, such as chat robots, can automatically generate corresponding responses according to the chat content input by users. [0004] In the prior art, dialogue ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06F16/332G06F16/33
CPCG06F40/284G06F40/30Y02D10/00
Inventor 杨凯程李健铨蒋宏飞
Owner 安徽省泰岳祥升软件有限公司
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