Event subject recognition method and device and storage medium

An identification method and entity identification technology, applied in the computer field, can solve the problems of reduced operation speed and large amount of operation, and achieve the effects of fast running speed, fewer network parameters, and reduced boundary errors.

Pending Publication Date: 2020-06-16
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

This type of method can use the information of named entity recognition results to help the event subject extraction task to narrow the target range, which can effectively improve the extraction effect, but this type of method also has obvious disadvantages, that is, a large amount of calculation
This type of method needs to run the classification model for each candidate entity separately. The higher the complexity of the classification model, the faster the operation speed of this type of method will be.

Method used

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  • Event subject recognition method and device and storage medium
  • Event subject recognition method and device and storage medium
  • Event subject recognition method and device and storage medium

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Embodiment Construction

[0032] The application describes a number of embodiments, but the description is illustrative rather than restrictive, and it will be obvious to those of ordinary skill in the art that within the scope of the embodiments described in the application, There are many more embodiments and implementations. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Except where expressly limited, any feature or element of any embodiment may be used in combination with, or substituted for, any other feature or element of any other embodiment.

[0033] This application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The disclosed embodiments, features and elements of this application can also be combined with any conventional features or elements to form unique inventive solutions as defined by the clai...

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Abstract

An event subject identification method comprises the following steps: identifying an entity in a target text by adopting a predetermined entity identification model; marking the identified entity in the target text by adopting a first predetermined symbol to obtain a marked target text; obtaining an embedded vector of each character in the target text according to the marked target text; inputtingthe obtained embedded vector of each character in the target text into a named entity recognition prediction model to obtain an output label corresponding to each character in the target text; and according to the obtained output label corresponding to each character in the target text, identifying an event main body in the target text. According to the invention, the identification accuracy canbe improved.

Description

technical field [0001] This article relates to computer technology, especially a method, device, and storage medium for identifying event subjects. Background technique [0002] News text refers to the written form of news reports. Compared with other literary genres such as novels and reviews, news texts often contain more descriptions of real-time events, and are more descriptive and time-sensitive. Automatically, fully, and efficiently extracting useful information from news texts can help the government reasonably manage and control social security, help financial institutions effectively avoid risks, and help companies accurately understand market conditions. Therefore, information extraction from news texts has always been a hot spot in the academic circle. [0003] Named entity recognition is a classic task and a hot topic in the field of natural language processing. The goal of the named entity recognition (Named Entity Recognition) task is to automatically recogniz...

Claims

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Application Information

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IPC IPC(8): G06F40/295G06F40/30G06F40/211
Inventor 伯仲璞王道广
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD
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