I have a general open question. Is SPA suitable for NLP applications such as question-answer/reasoning ?
I read several tutorials. It seems the SPA suits for representing complex structures with great scaling performances(with chained memory). Also, with high dimensions the system has a large space to encode conceptual semantic points. Therefore it suits for reasoning and Q-A tasks.
Anyone can comments on this?
Thanks a lot.