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Atlas construction method and related equipment thereof

A construction method and graph technology, applied in the direction of semantic tool creation, unstructured text data retrieval, special data processing applications, etc., can solve the problem of high cost of causal event graph construction, to reduce construction cost, improve construction effect, improve The effect of the extraction effect

Pending Publication Date: 2022-03-29
IFLYTEK CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the causal event graph is usually manually constructed by experts, making the construction cost of the causal event graph relatively large

Method used

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  • Atlas construction method and related equipment thereof
  • Atlas construction method and related equipment thereof
  • Atlas construction method and related equipment thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] see figure 2 , which is a flowchart of a map construction method provided in the embodiment of the present application.

[0042] The map construction method provided in the embodiment of this application includes S1-S4:

[0043] S1: Get the text to be used.

[0044] Wherein, the text to be used refers to text data with causality; and the text to be used includes at least one set of causal events (that is, cause events+result events).

[0045] In addition, the embodiment of the present application does not limit the number of the above-mentioned "texts to be used". For example, when a large amount of text data is used to construct a new causality graph, the number of the above-mentioned "texts to be used" is relatively large. For another example, when using one or more text data to update an existing causality map, the number of the above-mentioned "texts to be used" is relatively small (eg, the number of the above-mentioned "texts to be used" is 1, etc.).

[0046] In ...

Embodiment approach

[0062] In fact, in order to avoid the interference of text data without causal relationship on the process of constructing the causal event map, the embodiment of the present application also provides a possible implementation manner of obtaining the above-mentioned "text to be used" (that is, S1) , which specifically may include Step 11-Step 12:

[0063] Step 11: After the text to be processed is obtained, the causal relationship identification process is performed on the text to be processed, and the identification result of the relationship to be used is obtained.

[0064] The above "text to be processed" is used to represent a piece of text data (for example, news text, etc.) under the target field; and the embodiment of the present application does not limit the number of the "text to be processed".

[0065] The above "target field" refers to the application field of the map construction method provided by the embodiment of the application; and the embodiment of the appli...

Embodiment 3

[0075] In addition, in order to improve the extraction effect of the cause event, the embodiment of the present application also provides a possible implementation of the above S2, which may specifically include: inputting the text to be used into a pre-built cause event extraction model to obtain the cause event At least one to-be-used cause event output by the model is extracted.

[0076] The above-mentioned "causal event extraction model" is used to perform causal event extraction processing for the input data of the causal event extraction model; and the embodiment of the present application does not limit the "causal event extraction model", for example, it may be a machine learning model.

[0077] In addition, the embodiment of the present application does not limit the model structure of the above "causal event extraction model", for example, the "causal event extraction model" may include the first encoding layer and the first decoding layer; and the input data of the f...

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Abstract

The invention discloses a graph construction method and related equipment thereof, and the method comprises the steps: after obtaining a to-be-used text comprising at least one group of causal events, firstly extracting at least one to-be-used cause event from the to-be-used text; according to each to-be-used reason event and the to-be-used text, determining a result event corresponding to each to-be-used reason event; and finally, according to at least one to-be-used reason event and a result event corresponding to the at least one to-be-used reason event, determining a causal event atlas, so that the causal event atlas is used for recording a causal relationship existing in the to-be-used text, and the purpose of automatically constructing the causal event atlas can be achieved. Therefore, the construction cost of the causal event atlas can be reduced.

Description

technical field [0001] The present application relates to the field of natural language processing, in particular to a graph construction method and related equipment. Background technique [0002] The causal event graph is a kind of knowledge graph with "event" as the core; and the causal event graph is used to describe the causal relationship between different events, so that the causal event graph can simulate the knowledge modeling of the human brain, Reasoning and analytical decision-making skills. [0003] However, the causal event graph is usually constructed manually by experts, which makes the construction cost of the causal event graph relatively high. Contents of the invention [0004] The main purpose of the embodiments of the present application is to provide a map construction method and related equipment, which can reduce the construction cost of the causal event map. [0005] An embodiment of the present application provides a map construction method, the...

Claims

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Application Information

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IPC IPC(8): G06F16/36
CPCG06F16/367
Inventor 顾成敏代旭东李宝善陈志刚
Owner IFLYTEK CO LTD
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