Time Travel: 2014

When it comes to the direction of summary, traditional summary algorithms are extractive summary algorithms.

This algorithm works very much like a rough cut and match.

The generative method is that after the computer "reads through" the original text, it generates a smooth summary according to the pre-given summary model on the basis of understanding the meaning of the entire article.

This approach requires the machine to understand the post-overview.

It can be seen that the generative summary algorithm is more like human thinking than the extractive summary algorithm.

To be able to achieve this, the corresponding model used by the generative summary algorithm must at least have stronger representation and understanding capabilities than existing algorithms.

Although I don’t know exactly how Lin Hui managed to obtain such a powerful model.

But Lin Hui has a way to solve the most troublesome problem involving the corpus, and it is not surprising that he can solve other problems easily.

So far, in He Tianchang's opinion, Lin Hui has created too many miracles.

Whether it is academically, business or career.

With the blessing of this halo of miracles, He Tianchang felt that even if Lin Hui could master the generative summary algorithm, it would be nothing.

He Tianchang even had a hunch that Lin Hui's achievements would not be limited to just a generative summary algorithm.

Lin Hui represents the future!

In fact, He Tianchang had this feeling before.

The more contact he had with Lin Hui, the stronger He Tianchang's feeling became.

Although I don’t know what the future that Lin Hui represents is.

But as the saying goes, people become better with age, and He Tianchang believed in his intuition.

If this is indeed the case, provided that Lin Hui's values ​​do not deviate from mainstream social values.

He Tianchang felt that he was willing to protect Lin Hui.

Of course, this may be just wishful thinking on his part.

Because Lin Hui's growth rate is too fast.

This growth is so rapid that judgments based on common sense can be greatly biased.

Take what happened before as an example.

After Lin Hui won the first prize in the college entrance examination.

In order to prevent the outside world from making malicious commercial hype about Lin Hui, he would praise or kill him with a stick.

He then used some means to prevent the media from reporting without a bottom line.

It was probably the right thing to do in the light of the time.

But then He Tianchang felt that it was wrong.

Because a genius like Lin Hui may not have experienced this kind of incident like killing with praise and killing with a stick.

You will have to experience it sooner or later in the future.

And it was precisely because of his interference that Lin Hui lost a possible training opportunity.

Therefore, He Tianchang once thought that his behavior was wrong after intervening in this matter.

I once blamed myself for this.

But after learning that Lin Hui chose MIT.

He felt that his previous approach was correct again.

If the media had not been asked to refrain from reporting.

As a result, Lin Hui fell into the turmoil of public opinion as a top scorer in the college entrance examination.

In the end, it was reported that the top scorer in the college entrance examination abandoned major domestic universities and went to the Massachusetts Institute of Technology.

If such an argument really comes up.

And if someone happens to use the topic to make use of it, it will not be an opportunity for Lin Hui to exercise.

But a huge whirlpool.

This whirlpool does not care whether Lin Hui is the top scorer in the college entrance examination or any other status.

Such a vortex would tear everything apart.

He Tianchang may not be very clear about matters involving other levels.

But it involves education, so it is often involved.

He Tianchang felt deeply about this.

If Lin Hui is involved in the vortex of contradictions involving Chinese education and Western education.

The consequences could be disastrous.

In short, He Tianchang is now grateful for his initial choice.

And all this is based on his initially slightly biased or even nosy ideas.

Well, this has been a rollercoaster of twists and turns.

The kind that makes people numb.

Fortunately, the ending is not bad.

Having been immersed in the computer industry for a long time, He Tianchang’s biggest insight is:

——When it comes to computers, never use ordinary people’s thinking to estimate genius.

And Lin Hui is a genius, and a genius in the true sense.

He Tianchang is not exaggerating at all. He was recently invited to participate in several academic conferences on natural language processing co-organized by Shuimu University and visiting academic teams from the Massachusetts Institute of Technology.

The name he heard most during the meeting was LIN HUI.

He was still a little confused at first, until he figured out that this LIN HUI was Lin Hui who he had been paying attention to.

He Tianchang suddenly realized.

At that time, Lin Hui was a little surprised. The movement made by this Lin Hui actually alarmed these people who were thousands of miles away.

Well, the power of Lin Hui's achievement is really quite big.

According to the scholars in the visiting team of MIT.

Lin Hui's value in natural language processing and neural network learning is like a dazzling light appearing in the distant and dark wilderness.

He Tianchang felt that compared to MIT's bottomless statement about natural language processing, his use of the word "genius" to describe Lin Hui was much more restrained.

Speaking of which, it was precisely because the visiting MIT team praised Lin Hui in front of many colleagues in the computer industry from all walks of life at Shuimu University (one of the highest universities in China) that He Tianchang was confident that he could replace Lin Hui. Declare corresponding supportive policies.

In the past, it would have been pretty good if the research results of a young man who had just turned 18 years old were not classified into the youth group or the college student group.

Not to mention any supportive policies or awards in society.

But now it seems that there is no need to worry about this at all, involving everything Lin Hui has achieved on the Nanfeng APP.

Not to mention some supportive policies, it is possible to win some big prizes.

But when it comes to the grand prize, He Tianchang is not absolutely sure.

Therefore, he did not tell Lin Hui about this matter.

Recalling the academic conferences I attended in Shuimu, it can be said that those Waiguo people spoke extremely highly of Lin Hui.

Although He Tianchang studied in the United States before, he graduated from Ph.D.

But his impression of Americans is not very good, and he cannot afford to do so early without benefit.

Now the same group of people have traveled thousands of miles to come to China for a LIN HUI.

This also illustrates the magnitude and value of Lin Hui's activities.

If true, as the MIT team states, it would undoubtedly mean:

The birth of the generative summary algorithm has promoted a big step forward in neural network learning.

Research on neural network learning has been stagnant for a long time.

Research in neural network learning, at least in recent years, has been treading water.

But these are about to become a thing of the past.

And the past is all prologue.

The birth of generative summary algorithms also means that new blood will be injected into the research direction of natural language processing.

He Tianchang has a premonition that spring is coming in terms of natural language processing and neural network learning.

What comes after these two?

They all seem to be inextricably linked to "machine learning".

After realizing this, He Tianchang suddenly felt that he could do something.

For example, it is the first in China to offer machine learning teaching in computer science and technology majors.

Not just as an elective, but as a required course.