MULTI-LABELED DATA-BASED DEPENDENCY AND SYNTACTIC PARSING MODEL TRAINING METHOD AND APPARATUS

摘要

A multi-labeled data-based dependency and syntactic parsing model training method and apparatus, a device and a readable storage medium, the method comprising: obtaining a word sequence and multiple labeling results; inputting the word sequence into a dependency and syntactic parsing model to obtain an arc score and a label score; according to an objective loss function, calculating loss values of the arc score and the label score relative to the multiple labeling results; adjusting model parameters of the dependency and syntactic parsing model by means of iterative training by taking the minimization of the loss values as the objective so as to implement model training. It can be seen that the described method can calculate the loss values of an output result of the model relative to all labeling results according to the objective loss function, and complete the iterative training of the model on the basis of the foregoing, thus achieving the objective of making full use of valid information in all labeled data and improving the dependency and syntactic parsing abilities of the model.