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.