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  • positive feedback (preferred): the extraction was correct and confirmed by the user without modification.

  • complementary feedback: the extraction system extracted nothing, for example, the response doesn't contain the requested label. The user manually entered the correct value.

  • negative feedback: the extraction was incomplete or erroneous. The user manually corrected the extraction.

  • informative feedback: the extraction was changed for another reason, for example, if a line item is returned, the quantity extraction gets feedback "0" and a return reason.

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The Gini Pay API allows lets you to submit feedback on multiple extractions for a single document with a single request. It is strongly recommended that you submit your feedback in this way for two reasons. On the one hand, the total number of round trips is reduced to one and the feedback is handled internally as a batch. Therefore, the update is more efficient for multiple extractions compared to submitting the feedback with each separate request. On the other hand, Gini's machine learning training techniques can benefit from the feedback on multiple extractions since Gini is aware of the fact that single parts of the submitted feedback belong together.

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