Semantic parsing of IT operation and maintenance service requirements based on multi-task learning
The automation level of IT operation and maintenance service affects the operation efficiency of enterpri-ses.To realize the intelligent service desk based on unattended,a semantic analysis method of IT operation and ma-intenance service requirements was proposed,including two tasks of intention recognition and named entity recogni-tion.Based on the Multi-BERT-BiLSTM-CRF(MBBC)benchmark model,the part-of-speech and entity dictionary features were integrated into the coding layer with prior knowledge and external resources to enhance the learning of lexical information and domain knowledge.In addition,the parameter sharing mode of MBBC model was improved,and Enhanced MBBC(EMBBC)model was proposed to enhance the information sharing capability between two tasks.The computational experiments on an enterprise IT operation and maintenance worksheet data set showed that compared with MBBC model,the recognition performance of the two tasks could be further improved by combi-ning the features of speech and entity dictionary and adopting EMBBC model.
IT operation and maintenance serviceintention recognitionnamed entity recognitionBERT modelmulti-task learning
NETL
NSTL
万方数据
