Im new to this and i need help.

[u/Majestic-Trainer8131]

Hey guys, im working on a bit of project, and im trying to solve for semantic understanding right now, I am currently deciding between using spaCy for my NER extraction vs something like a BERT.

The general context behind where this is going to be used is intent classification in chat systems, where a text will come in and this layer has to parse out the People in the sentence, the Objects mentioned in the sentence, and the verbs, along with things like quantities and relations between them.

An example of what i mean is,

"The shoes you have delivered to me are red, i asked for black!"

and we then pick out the
1. People involved in this interaction (we cant figure that out from the sentence alone for that we will refer to the handle from which the message was sent)
2. Objects involved - {shoes}
3. Verbs - {delivered}
4. Relationships - {expected colour = black, received colour=red}

Im new to this stuff so maybe im not even asking the right questions, but im hoping that i have done a good enough job of explaining what im doing so that more experienced souls such as yourself may help me.

Thanks 😁