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NER FOR NLP : Long text marking problem

Open starphantom666 opened this issue 3 years ago • 2 comments

If the text is too long, you have to go back to the top every time to select a label for marking and then return to marking, which is a waste of time; It is usually marked while reading. If you can select the text first and then mark, I think it is more comfortable Whether the marked window can be made into a scrolling window Whether a label folding function can be developed to prevent too many labels from interfering with labeling

starphantom666 avatar Jun 28 '22 08:06 starphantom666

@starphantom666 Check this sticky to the top labels example.

Also try to use this setting in the Label Studio Frontend: image

makseq avatar Jul 01 '22 23:07 makseq

Well, such a workflow is also worth trying I have another question to ask, which place is the data stored after the marking of this platform? In fact, when we deploy on the server, we want to put a CSV dataset on it, and the reading and export of annotations are carried out on this dataset, so no matter how we operate, there is only one file Now I see that our platform can read resources in real time, but the exported cloud synchronization is exported to another file every time, and the name of this file seems to be invalid, which is a JSON file starting with a number

starphantom666 avatar Jul 06 '22 03:07 starphantom666