I’m building a bot and try to extract entities for how many push-ups someone has done in a day.
If I have in my dataset:
- monday 2
- tuesday 2
Should I annotate ‘2’ in both examples?
I’m building a bot and try to extract entities for how many push-ups someone has done in a day.
If I have in my dataset:
Should I annotate ‘2’ in both examples?
Yes you should annotate all examples in your training data if you are going to use a machine learning based entity extractor (like DIET).
Alternatively, you could use the regex entity extractor to specify a pattern to look for. If you use this approach, per the docs you would only need to annotate two training examples:
you do need at least two annotated examples of the entity so that the NLU model can register it as an entity at training time.