Annotation data determination method and apparatus, and readable medium and electronic device

A non-transitory computer-readable medium having a computer program stored thereon that, when executed by a processing device, implements a method for determining labeled data, comprising:

• obtaining candidate data from a candidate data set, wherein the candidate data set is a set constituted by a plurality of unlabeled text data;
• inputting the candidate data into a first text recognition model and a second text recognition model respectively to obtain a first recognition result output from the first text recognition model and a second recognition result output from the second text recognition model, wherein the first text recognition model and the second text recognition model are both capable of recognizing whether text data belongs to a target category;
• determining whether the candidate data meets a labeling condition according to the first recognition result and the second recognition result, wherein the labeling condition is that the candidate data is recognized by at least one of the first text recognition model or the second text recognition model as belonging to the target category;
• and
• determining the candidate data as text data to be labeled if it is determined that the candidate data meets the labeling condition.

An electronic device, comprising:

• a storage device having a computer program stored thereon;
• a processing device for executing the computer program in the storage device to implement a method for determining labeled data, comprising:
• obtaining candidate data from a candidate data set, wherein the candidate data set is a set constituted by a plurality of unlabeled text data;
• inputting the candidate data into a first text recognition model and a second text recognition model respectively to obtain a first recognition result output from the first text recognition model and a second recognition result output from the second text recognition model, wherein the first text recognition model and the second text recognition model are both capable of recognizing whether text data belongs to a target category;
• determining whether the candidate data meets a labeling condition according to the first recognition result and the second recognition result, wherein the labeling condition is that the candidate data is recognized by at least one of the first text recognition model or the second text recognition model as belonging to the target category;
• and
• determining the candidate data as text data to be labeled if it is determined that the candidate data meets the labeling condition.