Therefore, the user corrects the errors in the next dialog turn.
User interaction, meaning that the system attempts to adjust its performance from what the user corrects, is proposed in order to reduce CT.
For example, if Flickr misidentifies a motorcycle as a bicycle and a user corrects that, the service will learn from that input so it won't make the same mistake again.
For our semi-automated approach, however, it seems that the usual metric of "error rate" is not appropriate, because the program does not proceed all by itself and let the user correct the answers afterwards.
If the directionality of R5 or R8 is specified incorrectly, then alerting the user that D is a dead-end metabolite will help the user correct the directionality of R5 or R8, if appropriate.
Vlingo says the technology learns the new word quickly if users correct an incorrect result.
Google solves the spelling-correction problem entirely differently — and much more efficiently — by simply looking at a huge database of users correcting their own errors.
But the new capability, introduced to help users correct spelling and grammatical errors, means posts can be modified, and their content changed.
The service, which had been around since 2008, let users correct or fill in missing map content – like place details, roads, business information and more.
To solve this problem, we systematically analyzed the user behavior during document capture (e.g., video sequences and photographs taken or hand grip used) and propose a novel solution called ScanShot, which detects document capture time to help users correct orientation errors.
To determine whether these errors arose due to inaccuracies of the automatic processing, we ran the same analysis after the results of the automated fitting had been user-corrected with the verification GUI.
