Reflections on Natural Language Processing

Artificial intelligence, natural language processing times

Natural Language Processing has 50 years of history, even earlier than artificial intelligence, today's topic is how to do natural language processing in the current backdrop.
We know that we are entering from an agricultural society to an industrial society into the information society then and now, we want what society is next? In fact, I could not understand, we are talking about the information society, no one is talking about the beginning of data, a lot of people talk about information, the information was finished talking about the knowledge economy, knowledge-based economy after someone has finished talking about big data, cloud computing, and speak Being Digital now and then began to talk about intelligence, I was thinking, these terms appear at different times in human society, and that in the end what is the logical relationship between them, I sum up a bit, I also found a bit online, first from a social point of view, from agriculture to industry and then to information, the information society will be broken down, probably divided into several parts, the first one is called data, the second is called information, and the third called knowledge, the fourth called smart , then think about what data, if you have done big data, natural language processing done, you think about what data, what intelligence, what intelligence, a word can speak clearly? So this is very critical, I can tell you, what data do? Data is in accordance with certain agreed upon a format known as a description of the properties of things, which is called the data, such as Hangzhou weather today how many degrees? This is called data, what information is it? We have so much data, this data there is no information yet? Yes, but the data itself is not information, data, knowledge of some data only, the English called angle data, from a computer point of view is 0 and 1, that is, data, information, what is it? Information is abstracted from the data with a timeliness, with semantics, these data have some logical relationship, give chestnuts, we say that a meeting on the second floor, this sentence is no information, because it is uncertain , when meeting on the third floor, third floor open what will? Hangzhou weather 20 degrees this sentence is just data, not information, it should be said of the 20 degree weather Hangzhou today called information, then what is knowledge? Knowledge is further abstracted from the information, the knowledge that is precipitated from down inside information, and knowledge of the original architecture can integrate the knowledge we call it, say, 20 degrees today in Hangzhou, Hangzhou temperature over a period of time 3 degree, we say that Hangzhou seasons a year, which is called knowledge, with the knowledge that what is it smart? We say that a person is very very cultural knowledge, but emotional intelligence is poor, or very poor problem-solving skills, What is it smart? The ability to use knowledge to solve problems is called intelligent, smart word separately called intelligence and the ability to speak, a large part of wisdom from the knowledge up, after you have knowledge of how to solve the problem it is called intelligent, so that in artificial intelligence era, we use the computer to reach the level to solve the problem of people have.
Then began to think, everyone says that animals do not have a smart, intelligent people only, who are in our current range of knowledge in the universe, the only organism has intelligence, so the question is, what is intelligence, talent Why intelligent,

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Origin www.cnblogs.com/rise0111/p/11291649.html