A method and apparatus for identifying verbal skill intent

Abstract

The invention discloses a method and device for identifying verbal skill intention, and relates to the technical field of computers. One specific embodiment of the method comprises the following steps: matching an interventional verbal skill for a user verbal skill from an interventional verbal skill set, and calculating verbal skill similarity between the user verbal skill and the matched interventional verbal skill; if the verbal skill similarity is greater than the intervention threshold, identifying the verbal skill intention of the user according to the matched verbal skill intervention rule; if the verbal skill similarity is less than or equal to the intervention threshold, identifying the verbal skill intention of the user by utilizing a template rule verbal skill set or an identification model; and updating the intervention verbal skill set, the template rule verbal skill set or the identification model according to the identified verbal skill intention. According to the embodiment, the verbal skill intention can be quickly and accurately recognized, and a quick response can be made to common verbal skill; the data is updated while the user verbal skill is identified, so that the data is fully utilized in the iteration process, and the data annotation workload is reduced.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method and device for identifying speech intent. Background technique [0002] With the development of artificial intelligence technology, the human-computer dialogue system has become a key technology in the field of artificial intelligence research. From the user's point of view, according to the guidance of the dialogue system, complete the pre-set tasks in a specific field, which can reduce communication costs and improve the shopping experience. From the perspective of Jingdong's business, user behavior in specific fields is summarized into a series of tasks. Not only can users get a better human-computer interaction experience, but it can also save labor costs such as customer service. [0003] The existing domain-specific intent recognition and slot value extraction methods generally follow the following process: [0004] 1. Apply the intention recognition m...

AI Technical Summary

Problems solved by technology

[0008] 1. Excessive reliance on pre-defined intent and slot values, poor iterability;

[0009] 2. It is impossible to provide quick feedback on the recognition of wrong words

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