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Text event information extraction method, electronic device and nonvolatile storage medium

A technology of event information and extraction method, which is applied in the field of text event information extraction and non-volatile storage media, can solve the problem of low accuracy rate, achieve the effect of solving data dispersion, convenient use, and improving recognition effect

Active Publication Date: 2019-10-11
TRS INFORMATION TECH CO LTD
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Problems solved by technology

[0005] In order to solve the technical problem of low accuracy in the technical solution of event information extraction in the prior art, the present invention provides a method for extracting text event information, an electronic device and a non-volatile storage medium. In a combined way, configure the event extraction model to achieve accurate extraction of text event information

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  • Text event information extraction method, electronic device and nonvolatile storage medium
  • Text event information extraction method, electronic device and nonvolatile storage medium
  • Text event information extraction method, electronic device and nonvolatile storage medium

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Embodiment

[0040] In order to solve the technical problem of difficulty in model building or low accuracy in the technical solution of event information extraction in the prior art, this embodiment proposes an event extraction method and device, which first uses a neural network to preprocess the text, and then The text is divided into blocks, and the corresponding event information is extracted from different text blocks.

[0041] Such as figure 1 As shown, this embodiment provides a method for extracting text event information, the method comprising:

[0042]S110. Preprocessing the text. The preprocessing includes segmenting the text into words, converting the words into vectors to obtain word vectors, inputting the word vectors into a neural network model, and outputting entities through the neural network model.

[0043] The text preprocessing in this embodiment, before performing word segmentation and entity recognition on the text, also includes text format alignment: remove conse...

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Abstract

The invention belongs to the technical field of information processing. The technical problem that in the prior art, an event information extraction technical scheme is not high in accuracy is solved.The first aspect of the invention provides a text event information extraction method, and the method comprises the steps: carrying out the word segmentation of a text, carrying out the vector conversion of segmented words, obtaining a word vector, inputting the word vector into a neural network model, and outputting an entity; arranging segmented words and entities in the text blocks into structured text blocks according to grammar-defined corresponding mode rules on the basis of information types defined by the text format features; and performing event information extraction processing onthe structured text block, realizing keyword extraction by using a grammar-defined corresponding mode rule, and ooutputting keywords to a result template. Therefore, the event extraction model is configured in a mode of combining neural network deep learning and rules, and accurate extraction of text event information is realized.

Description

technical field [0001] The present invention relates to the technical field of information processing, in particular to the technical field of event information extraction in text mining research, in particular to a method for extracting text event information, an electronic device and a non-volatile storage medium. Background technique [0002] Event information extraction is one of the most challenging tasks in text mining research. It aims to use computers to automatically extract specific types of events and their elements from text. Event information extraction is a key technology in the field of information processing. It is used in information retrieval, Automatic question answering, automatic summarization, data mining, text mining and other fields have a wide range of applications. [0003] The current research and experiments on event information extraction can be summarized into three categories: (1) Rule-based text event extraction. Typical systems using this met...

Claims

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Application Information

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IPC IPC(8): G06F16/35G06F16/36G06F17/27G06N3/04
CPCG06F16/35G06N3/049G06F16/374G06F40/295
Inventor 乔春庚江敏刘瑞宝
Owner TRS INFORMATION TECH CO LTD
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