Hello, I have used the "live demo app" to see how the labeling works for a coreference task and I have a question about our use case before purchasing Prodigy.
In our case, the first pass is a simple NER task with 2 classes. After that, we need to extract 1-4 (maximum) coreferences from each medical report (each report is 100-300 words).
I'd like to know how does the GUI work in the case of a longer text compared to what is shown in the example (scrolling down a "long" text ,wrapping it, seems a bit unpractical: the corefs can be far away within those 300 words).
Alternatively, would it be easier to have a maximum of 8 pairs of labels?
I appreciate that the actual ML task will be challenging down the line, but given that the data will have to be labelled anyway, I thought to give it a try and I want to understand if Prodigy can make this manual labeling task easy.