Generating method, device and equipment for labeled data, and storage medium

Abstract

Embodiments of the invention disclose generating method, device and equipment for labeled data, and a storage medium. The method comprises the following steps of acquiring sample condition informationprovided by a data demand party and matched with a demand sample, wherein the sample condition information comprises the current semantic understanding protocol of the demand sample, the historical semantic understanding protocol of the historical sample associated with the demand sample, the sample type of the demand sample and the syntax rule of the demand sample; providing the sample conditioninformation to at least one data labeling party, and obtaining an alternative labeling sample which is generated by the data labeling party according to the sample condition information; carrying outrationality verification on the alternative labeling sample according to the sample condition information to obtain a target labeling sample; and according to the target labeling sample and the sample condition information, constructing a structured labeled data, wherein the required multi-round interaction system data can be efficiently acquired, the data acquisition process is simplified, and the labor cost is lowered.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of data processing, and in particular, to a method, device, device, and storage medium for generating labeled data. Background technique [0002] Multi-round interaction systems are more and more widely used in the field of existing intelligent electronic products. For example, multi-round interaction based on context dialogue scenarios plays a pivotal role in the field of intelligent questions, and is also an important function and huge problem. In practical applications, the problem that the intelligent question answering system needs to solve is likely to be a complex process knowledge, rather than a simple question-and-answer form. [0003] Currently, rule-based models are more commonly used in multi-round interactive systems. As the application scenarios of multi-round interactive systems become more and more complex, it is difficult for pure rule-based models to meet the needs o...

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Problems solved by technology

[0005] In the process of implementing the present invention, the inventor found that the prior art has the following defects: acquiring training interaction data from log files requires excessive dependence on the performance of the interaction system, and only the interaction data of the scene supported by the system can be obtained; The process of interactive data is cumbersome and inefficient, requiring a lot of human time

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