Natural Language Processing (NLP) has had a relatively long development period. It is often broken down into smaller problems: text classification, Named Entity Recognition (NER), summarization, etc. to solve concrete challenges.For each smaller challenge, we have different small models to solve it, and sometimes, we must prepare large enough training data.For example, to use text classification to detect when a guest asks about check-in time, we need to create a list of similar questions for th...