The
knowledge graph construction method for the multi-source Chinese financial announcement document comprises the following steps: structuring the hierarchical relationship of each chapter of the document, and constructing a relatively complete document structure tree; labeling all the title data; unifying the length of the title to a preset word number, and carrying out
word embedding coding at a character level by using BERT to obtain a corresponding vector representation; dividing the processed
data set into a
training set and a
test set, and training to obtain a title classification model; classifying the document titles by using a title classification model; the complex and effective knowledge of the effective text blocks is masked; constructing a semantic model with a
mask, constructing a multi-source similar generalization
mask Bi-LSTM semantic model (M-MST model), and feeding the M-MST model for training to obtain a
knowledge extraction model; according to the
knowledge extraction model, combining with an external
knowledge base to obtain an entity relationship triple; and constructing a multi-source financial announcement document
knowledge graph and realizing incremental updating or expansion. The invention further discloses a
system for implementing the
knowledge graph construction method for the multi-source Chinese financial announcement document.