Event disambiguation method based on graph neural network and related equipment thereof

The embodiment of the invention belongs to the field of computers, and relates to an event disambiguation method based on a graph neural network and related equipment thereof.The event disambiguation method comprises the steps that word segmentation operation, named entity recognition operation and...

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Bibliographische Detailangaben
Hauptverfasser: WANG WEI, ZHENG YI, CHEN HUANKUN, ZHANG QIAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The embodiment of the invention belongs to the field of computers, and relates to an event disambiguation method based on a graph neural network and related equipment thereof.The event disambiguation method comprises the steps that word segmentation operation, named entity recognition operation and event extraction operation are conducted on event corpus, and words, entities and event elements are obtained; calculating a first interaction coefficient, a second interaction coefficient, a third interaction coefficient and a fourth interaction coefficient to generate an initial vector, and normalizing the initial vector to obtain a target vector; forming an adjacent matrix of the target connection diagram by the target vectors, and generating a target matrix based on the adjacent matrix; constructing a multi-layer convolutional neural network based on the target matrix, converting nodes in the target connection graph into a node feature matrix, and inputting the node feature matrix into the multi-layer convoluti