Open jcuenod opened 3 years ago
I have a similar use-case..
We already have a very complex rhasspy nlu dataset, where we have nesting in entities of certain intents. And, we are building a custom parser for our use.
Since the "rhasspy-snips-nlu" parser always generates all possible sentences in the data, it is unusable for us and creates millions of utterance sentences for certain intents.
Does SNIPS support such nesting of entities? I could not find any information regarding it.
@datta-aerosys FWIW, I moved on to another platform...
@datta-aerosys FWIW, I moved on to another platform...
Which NLU tool did you move too? Does it support nested entities too ?
@datta-aerosys Eventually I stopped trying to roll my own and just used Azure's cognitive services. I might return to this in the future, but it was for a side project.
@datta-aerosys Eventually I stopped trying to roll my own and just used Azure's cognitive services. I might return to this in the future, but it was for a side project.
Ahh, ok. Online services are not possible for me, since my target edge-device has to be offline and standalone capable.
Is it possible to find overlapping/nested entities?
I am new to
snips-nlu
so I'm not sure whether it can solve my use case but I'm hoping to transform that imperative into something like:I need to distinguish between multiple search terms ("objects") that each have attributes and other search filters (like the "location_filter"). I have used
wit.ai
to do this before but I'm wondering whether snips can solve for my use case and where I should look for an example like this or some documentation.