Information processing device and information processing method for machine learning

Abstract

To provide an information processing device and information processing method for machine learning, which allow for accurately attaching multiple labels to data.SOLUTION: An information processing device 10 disclosed herein comprises a touch point generation unit and a learning unit. The touch point generation unit generates a touch point consisting of multiple question sets. Each of the multiple question sets consists of a question and multiple labels indicative of selectable answers to the question. The learning unit trains multiple learning models using the multiple question sets.SELECTED DRAWING: Figure 1

Claims

1. A creation unit for creating multiple question sets, wherein each of the multiple question sets consists of a question and multiple labels indicating selectable answers to that question, An acquisition unit that acquires a dataset containing multiple items to be labeled, An assignment unit that assigns one of several learning models to each of the aforementioned sets of questions, A prediction unit that predicts labels for the plurality of items using the plurality of learning models assigned above, A learning unit that trains the multiple learning models using the predicted labels, An information processing device having

2. The system further includes a presentation unit that presents the labels predicted by the prediction unit to the user. The learning unit trains the plurality of learning models based on the user's verification results for the presented labels. The information processing apparatus according to claim 1.

3. The information processing apparatus according to claim 1, wherein the plurality of learning models include learning models that have been pre-trained using a dataset different from the dataset.

4. The information processing apparatus according to claim 3, wherein the plurality of learning models include one or more labeling rules set based on the dataset.

5. The creation unit creates multiple sets of questions of different types, and the question types include a first type that takes three or more values ​​and a second type that takes two values. The information processing apparatus according to claim 1.

6. An information processing method performed by an information processing device, Creating multiple sets of questions, each of which consists of a question and multiple labels indicating selectable answers to that question, Obtain a dataset containing multiple items to be labeled, Assigning one of several learning models to each of the aforementioned sets of questions, Using the aforementioned assigned learning models, predict the labels for the aforementioned items. To train the multiple learning models using the predicted labels, Information processing methods, including those mentioned above.

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