Time Travel: 2014

After Lin Hui's research results appeared.

Currently, automatic text summarization technologies commonly used at home and abroad can be divided into two types according to different methods of summarization generation:

Extractive text summarization and generative text summarization.

The method of extractive text summarization is simple to implement. It only extracts existing sentences from the document to form a summary.

Generative text summarization uses natural language understanding technology to perform grammatical and semantic analysis of text and fuse information, and generate new summary sentences based on this.

Because Lin Hui just came up with the generative summary algorithm not long ago.

Therefore, except for the application of the generative summary algorithm on Nanfeng APP, its application scope is not too wide.

On the contrary, the extractive method is more widely used due to some historical developments.

But this does not negate the value of generative text summarization.

The academic level has never been dominated by the majority.

The truth is often in the hands of a few.

In the final analysis, extractive text summarization can only be regarded as a combinatorial optimization problem.

This is ultimately inferior to generative text summarization.

Although it seems inappropriate to forcibly divide two methods of dealing with the same problem (text summarization) into superior and inferior methods.

But what is the purpose of human beings in text summarization?

What is the purpose of human research in natural language processing?

After all, it is just to better understand natural language and process natural language more efficiently.

Measured from this perspective, the ability of generative summary algorithms in understanding natural language is undoubtedly higher than that of extractive summary algorithms.

Therefore, it is not biased to call the generative text summarization algorithm superior and the extractive text summarization algorithm inferior.

I think these overseas research teams must have seen that the generative summary algorithm developed by Lin Hui has improved the machine's ability to understand natural language to a higher level.

Only then will the emphasis on research on generating abstracts be further enhanced.

I have to say, the direction is right.

In fact, due to the rise of the field of artificial intelligence in the past, generative text summarization based on artificial intelligence has made a qualitative leap. After that, generative text summarization has become the main research direction of generative summarization.

However, just the fact that some scientific research institutions have increased their investment in text summarization algorithms is not enough for Lin Hui to take it so seriously.

Lin Hui has built quite complete technical barriers in the area of ​​generative summary algorithms.

It is impossible to overtake in corners. The only way these scientific research teams can take is to continue to build wheels according to the technical route previously announced by Lin Hui.

Lin Hui was more vigilant:

Because these scientific research institutions focus their attention on the subdivision of text summary.

Overseas, research in many subdivided areas of natural language processing that had been in the shadows has recently been revived.

Even some originally unpopular research directions in other fields of machine learning are showing signs of recovery.

This is not good news for Lin Hui.

This is likely to interrupt some of Lin Hui's previous deployments.

Even though Lin Hui also has technical advantages in other fields besides text summarization.

It is impossible to overcome the information advantage of seven or more years.

But the current situation also means that it is unrealistic for Lin Hui to take advantage of this once and for all.

Although the opponent's progress is very slow, they are still making progress.

If Lin Hui rests on his laurels, he will be surpassed sooner or later.

The story of the tortoise and the hare is a well-known one, and the truth behind it needs no introduction.

There is a heavy price to pay for blind pride and contempt for your opponents.

What's more, the opponent is the United States, which ranks first in scientific research strength on the surface.

Lin Hui couldn't be careless at all.

Not only must Lin Hui not be careless, but Lin Hui must speed up his efforts in natural language processing and machine learning in the future.

Only by progressing faster than your opponents can you continue to crush your opponents.

With this in mind, Lin Hui quickly entered a state of staying up all night and fighting hard.

Even though he stayed up late and fought hard, Lin Hui didn't feel tired at all.

Not only was Lin Hui not tired, but he was also refreshed and alert.

The mind is always in a very active state.

Now Lin Hui seems to be more and more certain that his body has been strengthened to a certain extent when he passed through the time and space tunnel after his rebirth.

However, things are not certain. Lin Hui still cannot completely rule out whether this matter is due to the influence of financial incentives.

Although a paper like this is somewhat different from the previous code, this paper has no direct economic benefits.

But it does not mean that these papers have no economic benefits.

There are still indirect economic benefits to this type of paper.

Not only that, but the economic benefits are also very significant.

Many times, publishing a paper means opening up an unprecedentedly broad market.

And what is the market? With a little operation, it is equivalent to endless real money.

In this case, Lin Hui couldn't tell whether his body had been strengthened or whether it was still a monetary stimulus.

Perhaps when we can more strictly control the relevant variables for testing.

But Lin Hui found it difficult. There were very few things in this world that were completely free of any financial interests or other forms of interests.

Anyway, even though his thinking was relatively active at this time, Lin Hui didn't think of a better verification method.

It's useless to think too much, and Lin Hui is no longer entangled.

While his mind was active, Lin Hui devoted himself to his work.

With this kind of dedication, Lin Hui works very efficiently.

Originally, Lin Hui was prepared to fight all night long.

As a result, before three o'clock in the morning, Lin Hui had almost revised the paper.

To be precise, there are no problems when it comes to the core expression of the paper.

Lin Hui's highly active mind was the only reason why he could change things so quickly.

Also thanks to the great pre-production work done by Eve Carley.

The reason why it has not been completely completed is due to some language reasons.

In order to pursue academic cutting-edge research, do you really need to write an English paper?

From now on, Lin Huiniu will definitely require all Waiguo Keren to write Chinese papers and publish them after he has the absolute right to speak in a certain research field.

The ideal is very full, but the reality is very skinny.

It can only be said that there is a long way to go.

After that, Lin Hui sent his slightly revised paper back to Eve Carly.

Ask Eve Carley to help polish it up when she has time.

After that, Lin Hui didn't feel sleepy much.

Lin Hui thought of the patent on mobile phone viruses that he wanted to tinker with not long ago.

Although Lin Hui has no plans to apply for the patent in the short term.

But it’s always good to sort out the corresponding materials first to avoid spending extra time later.

After rebirth, time is Lin Hui's most precious asset.

It is also the biggest potential threat to forest ash.

Time is a river that never flows backwards.