Abstract: Systems and method for assessing annotators by way of annotated images annotated by said annotators. Agent or annotator model modules are trained using annotated images annotated by specific annotators. A baseline model module is also trained using all of the annotated images used in training the agent model modules. The trained agent model modules are then used to annotate an evaluation dataset to result in evaluation result annotated images. The trained baseline model module is also used to annotate the evaluation dataset to result in its own evaluation result annotated images. The evaluation results from the agent model modules are compared with the evaluation result from the baseline model module. Based on the comparison results, scores are allocated to each agent model module. The scores are used to group agent model modules and annotators that correspond to the low scoring agent model modules can be targeted for retraining.

Abstract: There is disclosed a method and system for engaging in a dialog with a user. The dialog system may receive input from the user. The dialog system may determine text for responding to the user. The dialog system may determine products to recommend to the user. The dialog system may generate a summary of reviews corresponding to the products. A response may be output to the user based on the text for responding to the user, the products to recommend to the user, and the summary of reviews corresponding to the products.