The invention discloses an iterative construction method and device for a military 
scenario text event extraction corpus. The method comprises the following steps of 1, preprocessing, and obtaining anoriginal 
data set represented by a word sequence; 2, constructing a seed 
data set, defining an event template, constructing an 
event trigger word dictionary, forming the seed 
data set through manualannotation, and dividing the seed data set into a seed 
training set and a 
test set; 3, training a model, training a 
machine learning model by using the seed 
training set, testing the model by using the 
test set, and optimizing the 
model parameters according to a test result to obtain a first learning model; 4, selecting an unlabeled training corpus, and inputting the unlabeled training corpus intothe first learning model to obtain a prediction 
result set; 5, correcting the prediction 
result set to form a new 
annotation corpus; and 6, through the continuous iteration, generating the training sets in sequence to form the event extraction corpus. According to the iterative construction method for the military 
scenario text event extraction corpus, the corpus construction efficiency is improved, the 
manual annotation cost is reduced, and the relatively higher corpus 
annotation accuracy is obtained.