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An intention recognition algorithm is designed for the classification results. Each datum has a corresponding intention label to complete the task of semantic slot filling. The attention mechanism is applied to the recognition of rare slot value information, the weight of hidden state and corresponding slot characteristics are obtained, and the updated slot value is used to represent the tracking state. An auxiliary gate unit is constructed between the upper and lower slots of historical dialogue, and the word vector is trained based on deep learning to complete the task of spoken language understanding. The simulation results show that the proposed method can realize multiple rounds of man-machine spoken language. Compared with the spoken language understanding methods based on cyclic network, context information, and label decomposition, it has higher accuracy and F1 value and has higher practical application value.<\/jats:p>","DOI":"10.1155\/2021\/8900304","type":"journal-article","created":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T19:05:09Z","timestamp":1635361509000},"page":"1-9","source":"Crossref","is-referenced-by-count":2,"title":["Research on Spoken Language Understanding Based on Deep Learning"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9562-3718","authenticated-orcid":true,"given":"Hui","family":"Yanli","sequence":"first","affiliation":[{"name":"Faculty of Foreign Languages and Business, Jiaozuo Normal College, Jiaozuo 454001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1267\/1\/012023"},{"issue":"4","key":"2","first-page":"310","article-title":"Automatic language generation simulation of two-way interactive robot","volume":"36","author":"P. 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