Model training method and device, entity extraction method and device and storage medium
A model training and model technology, applied in instruments, electrical digital data processing, calculation, etc., can solve the problem of low accuracy and achieve the effect of improving accuracy
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[0051] Embodiments of the present invention provide a model training method, entity extraction method, device and storage medium to solve the technical problem in the prior art that the accuracy of entity extraction in public security documents is not high.
[0052] Terminology Explanation
[0053] Entity extraction: A subtask of information extraction that extracts predefined entities, such as time and place, from text data.
[0054] word2vec model: is a model used to generate word vectors. This model is a shallow, two-layer neural network that is trained to reconstruct linguistic word texts. The network is represented by words and needs to guess the input words in adjacent positions. Under the assumption of the word bag model in word2vec, the order of words is not important. After the training is completed, the word2vec model can be used to map each word to a vector, which can be used to represent the relationship between words and words, and the vector is the hidden layer...
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