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Event detection method and system based on traceable sequence generation method

A technology of event detection and sequence generation, which is applied in the field of information detection, can solve problems such as long tail problems and lack of training data, and achieve the effects of solving the problem of exposure deviation, good accuracy and recall, and accelerating training convergence

Active Publication Date: 2022-08-02
PEKING UNIV
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Problems solved by technology

However, existing event extraction corpora usually lack training data and have long-tail problems, which pose a major challenge to training such network structures.

Method used

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  • Event detection method and system based on traceable sequence generation method
  • Event detection method and system based on traceable sequence generation method
  • Event detection method and system based on traceable sequence generation method

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Embodiment approach

[0177] According to an embodiment of the present invention, in the detection module, inputting the input sentence as the text to be tested into the event monitoring model to obtain the event detection result includes:

[0178] In the event monitoring model obtained by inputting the input sentence as the text to be tested, the cluster search algorithm is used to determine the prediction path with the highest ranking in the input sentence;

[0179] The position of the trigger word corresponding to the event type appearing in the prediction path in the input sentence is located by the retrospective attention score;

[0180] Take the sum of the attention scores of the subwords constituting a word as the attention score of the word;

[0181] A threshold is set, and the words whose attention scores are greater than the threshold at each moment are used as candidate trigger words for the event type decoded at that moment, so as to obtain the event detection result (the event detectio...

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Abstract

The invention relates to the technical field of software detection, and proposes an event detection method and system based on a retrospective sequence generation method, wherein the method includes: encoding an input sentence as training text; calculating Luong attention on the encoded input sentence, and Locate the word with the largest weight in the input sentence according to the calculated attention weight; calculate the context vector of the input sentence after calculating Luong's attention; decode the input sentence according to the context vector, and decode an event type at each moment name; according to the decoding result, the event trigger word contained in the input sentence, the event type triggered by the trigger word and the predefined objective function, the model is trained to obtain the event monitoring model; input the input sentence as the text to be tested into the event monitoring model Get event detection results. According to the solution of the present invention, the event detection efficiency is high and the accuracy is high.

Description

technical field [0001] The present invention relates to the technical field of information detection, and in particular, to an event detection method, system, electronic device and computer-readable storage medium based on a method for generating a traceable sequence. Background technique [0002] Event extraction is an important and challenging subtask in the field of information extraction, which aims to extract structured event information from unstructured text, including event categories, event participants, and event attributes. Event extraction has a wide range of applications in the fields of automatic summarization, automatic question answering, information retrieval, and knowledge graph construction. Event detection aims to identify specific types of events and their trigger words from unstructured data, and is a key step in event extraction. [0003] Over the past few years, deep learning models including Convolutional Neural Networks (CNN), Recurrent Neural Netw...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/289G06F16/35G06K9/62G06N3/04
CPCG06F40/289G06F16/35G06N3/044G06F18/214
Inventor 谢睿张世琨叶蔚习翔宇杨洋
Owner PEKING UNIV
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