IBM Watson provides a complete set of tools on IBM Cloud to build a chatbot, add services to it, and customize it with your own cognitive programs.
A good chatbot fits the need. Thinking the architecture through before starting development avoids underfitting (not enough functionality) or overfitting (functions that will not be used) of the model.
Determining the right intent (what is expected of the chatbot), determining the entities to describe the intent (the subsets of phrases and words), and creating a proper dialog will take quite some time.
If necessary, adding services and specially customized machine learning functions will enhance the quality of the system. The use of CRLMM introduces concepts (images + words) into chatbots, bringing them closer to how humans communicate.
NLP parses and learns words. CRL adds a higher dimension to those words with images. These...
