How to implement chat robot in naturallanguageprocessing?

Only a short while ago , The chat robot in science fiction movies is still a distant fantasy . However, with the rapid development of artificial intelligence in recent years , natural language processing (NLP) And deep learning (Deep Learning) Technology has brought us one step closer to the chat robot .

So how does naturallanguageprocessing implement a chat robot ？

1、 What is natural language processing ?

natural language processing (NLP) It means that machines understand and interpret human paralyzes writing 、 The ability to talk .NLP The goal is to make the computer / Machines are as intelligent as humans in understanding language . The ultimate goal is to make up for human communication ( Natural language ) And computer understanding ( machine language ) The gap between . With NLP, It is possible to complete automatic voice 、 Automatic text writing is such a task . Due to large data ( Text ) The existence of , Why don't we use the power of computers , Tirelessly running algorithms to accomplish such tasks , It takes less time . These tasks include NLP Other applications , Such as automatic summarization ( Generate a summary of the given text ) And machine translation .

2、 Definition of chat robot .

A chat robot or an automatic intelligent agent means that you can chat app、 Chat window or voice wake up app A computer program for communication . There are also intelligent digital assistants used to solve customer problems , The cost is low 、 Work efficiently and continuously . The chat robot is crucial to understand the changes in the field of digital customer service and regular Q & A with frequent consultation . And chat robots are very helpful in certain scenes in some fields , Especially when you are frequently asked highly predictable questions .

3、 Chat robot and naturallanguageprocessing .

At present, human artificial intelligence is still in its infancy , What can mark the real arrival of the era of artificial intelligence ? Is that the machine has the conscious logic of transaction processing . Only the two major fields of artificial intelligence at present , Visual recognition and speech processing , These two blocks are also widely used , It is commonly used for identifying things , Human recognition , Action recognition , Translation and other fields .

The obvious point of artificial intelligence is to train repeatedly through a large amount of data , Extract eigenvalues , Optimize output results ; For some sets of data , It's easier to train , For example, face recognition , Phonetic translation , Its eigenvalues are extracted from finite classes ; however , If you extract a person's mind , It is difficult to convert to a series of eigenvalues for access , Like natural language , Although often used on 3000 Multiple words , But their combinations are ever-changing . A meaning to express , It can be expressed in many different sentences . In different scenes , The stress to the same thing is also different . How do you make a robot talk to you like an ordinary person . Now? , Many chat robots, including Microsoft microenterprises , After ten sentences in the dialogue , I always feel that the answer is not what I asked , Fuzzy response .

natural language processing NLP, It is now closer to the development of artificial intelligence thinking . Have a personality , Feeling , Robots that can think simply are still hard to come by , Because this thing is too complicated . But in Intelligent Customer Service , Intelligent search , Education will gradually mature , And shine , Also because there is much to be done in this field .

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