Some views of NLP algorithm engineer on NLP

The most recent project is NLP-related, saying some individuals have a view of NLP. Intuitively, the experience of NLP algorithm engineers is not much different from the experience of algorithmic engineers. The development of NLP is not so fast. If there is no real business need, the implementation of NLP or the product function is not as large as other areas, so NLP engineers may face relatively more setbacks, of course, also face more opportunities. In fact, the experience of algorithmic engineers is very important, two people think it is accumulation and reflection, usually spend more time reading paper to reproduce some experiments, without wasting your performance and time; The problem is often solved by experience and inspiration. These two points are usually derived from accumulation and reflection. So when you're in the best position, think hard. Don't dwell on time, form and position. When you're off duty or relaxed, you can often inspire inspiration. Therefore, it is important to maintain the level of attention to the problem. Do not stress yourself under pressure (assuming, of course, that you have done enough to accumulate). Perhaps like this, experience this kind of thing, always feel sometimes not easy to say, so is interested in the pit to try.

I find that there are also daily work problems. In fact, this comparison varies from person to person. Depending on the field of practice, it also varies greatly. You can refer to some of your responses and then refine them.

NLP Pseudo-Original technology is not very popular in the early days
Research on pseudo-original syntactic recognition based on active learning