Time Travel: 2014

Eve Carly, 25, is a Ph.D. in computer science from the Massachusetts Institute of Technology.

In fact, few computer majors in general get a Ph.D., and most of them go their separate ways after finishing their master's degree.

But Eve Carly has her own pursuits on the academic road.

Although this pursuit is almost destined to be a solitary journey.

But she always enjoys it, and the biggest motivation along the way is interest.

Besides interest, the biggest reason is the pride brought by the work.

She also has reason to be proud as a member of the text summarization group in MIT's Natural Language Processing research project.

After all, the world's most efficient extractive text summarization algorithm was developed by their team.

Eve Carley has always been proud of it.

However, this glory disappeared half an hour ago.

A new text summarization algorithm that is more powerful than the extractive text summarization algorithm developed by their team has been released.

And it appears directly in Apple's App Store as a mature application.

Eve Carly also learned about this incident after receiving Nick's email asking for help.

In fact, she was still a little skeptical after receiving the exaggerated request for help email from Nick.

She even thought for a while that Nick, the arrogant and stupid lucky idiot, had misremembered the date of April Fools' Day.

The algorithm in the software Nick used was ostensibly the responsibility of Yishuo's team.

But in fact, the Text Summarization Group of the Natural Language Processing Project at MIT is the real source of this algorithm.

The algorithm used in Nick's software can be said to be the culmination of everyone's hard work in Eve Carley's research team.

Eve Carly is still very confident about the algorithm she personally participated in.

How is it possible that there are software algorithms that can process news summaries more efficiently than the algorithms they developed?

It's not that she is arrogant and blindly confident.

In the past, the core algorithms of many software that appeared in the app store under the banner of news summary were actually very inefficient.

Even many news summarization programs that claim to have unique algorithms turn out to be just that.

Regarding this time, the so-called Nanfeng APP claims that the surface efficiency is the strongest and has the highest accuracy in the world.

At the beginning, Eve Carly only regarded these slogans as gimmicks and did not take them seriously.

However, the facts are shocking. Far from being a paper tiger, this Nanfeng APP is a peerless beast.

At least in terms of processing news summaries, the algorithm used by Nanfeng APP is ridiculously efficient in terms of efficiency.

After quantitative testing, Eve Carly even found that the average speed of English news summaries in Nanfeng APP in 100 rounds of tests was 241% faster than the software developed by Nick.

This is nothing, when the Nanfeng APP is run on a virtual machine with higher computing power.

The average speed of English news summaries in 100 rounds of tests is 350% faster than the average speed of their algorithm's summaries under the same conditions.

It can be said that it was defeated in all aspects.

Eve Carly didn't understand how it was possible for an algorithm to be three times more efficient in extractive text summarization than the algorithm they developed.

According to their research, the potential of current extractive text summarization algorithms has almost been exhausted.

Could it be that the algorithm team of Nanfeng APP has found a new way to squeeze the potential of the extractive text summary algorithm?

Impossible, absolutely impossible.

No matter what, their research team is also a natural language processing algorithm team that brings together the world's leading technology experts.

It makes no sense that elites like them would be overtaken by others in the same direction.

If the Nanfeng APP algorithm team hadn’t come from behind, then it would have been overtaking in a corner?

In other words, the algorithm of Nanfeng APP is definitely not the traditional extractive text summary algorithm, but a brand new summary algorithm.

A layman looks at the excitement, an expert looks at the door.

Eve Carly quickly verified her guess from the input and output results of several sets of news summary tests previously conducted by Nanfeng APP.

As expected, Nanfeng APP adopts a new text summary algorithm.

As for the basis for judgment, it is very simple.

Extractive text summarization directly extracts words or complete phrases from the original text as a summary of the article.

This process does not produce words and phrases that are not in the original news text.

However, the software Nanfeng APP produces many words and phrases in the news summary that are not in the original news text.

In other words, the algorithm used in Nanfeng APP is definitely not an extractive algorithm, at least not just an extractive algorithm.

A major feature of this new algorithm for news summarization is that it will generate words and phrases that are not in the original news text.

Compared with traditional extractive text summarization, Eve Carly feels that this new summarization method in Nanfeng APP is more like a generative summarization method.