Chapter 100 Google takes strong interest

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…

Because of the time difference, although it is already night in China, it is still daytime overseas.

In other words, even though Lin Hui is resting, there are still many people overseas who are busy at work.

In an office at the MIT Natural Language Processing Research Center, Eve Carley is still fighting.

In fact, since the advent of the generative text summarization algorithm tinkered by LIN HUI.

Eve Carly didn't know how long it had been since she had slept.

The reason why I couldn't sleep was not because of jealousy, but because of excitement.

To describe it as excited seems not to be accurate enough. To be precise, it is an unusual excitement.

Of course, excitement is not everything. Besides excitement, there is also some fear.

But deep inside the fear is expectation.

Although her moods are very fan-shaped, Eve Carly is sure that every mood she has is not without reason.

As a scientific researcher, it is natural to be excited to be exposed to an unprecedented way of solving problems.

The more we learn about generative summarization algorithms, the more exciting we become.

The more she learned about it, the more Eve felt that the person who proposed the algorithm was powerful.

The gap in strength made Eve Carly a little overwhelmed, and she unconsciously felt a little afraid.

Eve Carly seems to understand a sentence:

——The closer you get to the opponent's level, the more you understand how powerful the opponent is, and the more you will be afraid of him.

As for expectations, it is easier to understand. Human beings are inherently curious about unknown things.

Although each feeling is legitimate, it's always weird to mix several emotions together.

Especially for a person like Eve Carly who basically never has any mood swings.

This feeling is even more unfamiliar than ever.

Well, I don't know how to describe that strange feeling.

But deep down, Eve Carly admires LINHUI, a genius from across the ocean.

What is a genius? Although Eve Carly received a PhD from the School of Computer Science at the Massachusetts Institute of Technology, one of the world's top computer research institutions, at the age of 25.

But Eve Carly never dared to call herself a genius. Although she had a smooth journey, only she knew the hardships she had to endure.

In her opinion, the focus of genius is not "talent" but "talent"

The saying "Genius is 99% sweat and 1% inspiration" is completely lies.

In the eyes of Eve Carly, people who have gone through a lot of hard work to achieve success may be regarded as talents.

But this is definitely not a genius. How can genius use almost strenuous efforts?

Maybe genius also requires a little effort, but it definitely doesn't require this kind of hard work.

It's like everyone seems to know how to find the door when leaving the room but is at a loss.

The genius is the one who strolls to the door and gently opens the door under the blank gaze of everyone.

Words such as "going through thousands of hardships" and "coming out with joy after all hardships" can only describe ordinary people.

"Wandering in the courtyard" and "lifting a heavy weight with ease" are the descriptions that a genius should have.

And LIN HUI is a genius in the absolute sense.

When everyone is facing the bottleneck of the extractive summary algorithm and cannot find a way out of the text summary room.

LINHUI appeared at just the right time, and in everyone's confusion, it opened a brand new door called "generative text summarization".

In Eve Carly's heart, LINHUI is a worshiped idol.

…

Worship is worship, technology has no national boundaries, but technical personnel have national boundaries.

Eve Carley's team was tasked with following up on the technology proposed by LINHUI as soon as possible.

The task I received was not issued by a higher-level scientific research management agency.

It was proposed by Google.

Google and Eve's natural language processing project are in-depth strategic partners.

Every year Google/Google sponsors the team with over 10 million US dollars.

To put it bluntly, Google is the financial backer of Eve Carley’s research team.

Google’s mission is simple (at least that’s what the people at Google think):

——Evaluate the feasibility of implementing the algorithm proposed by LIN HUI, and consider whether it can be reproduced in a short time based on the actual situation.

As for why Google is interested in the algorithm proposed by Lin Hui?

This has a lot to do with Google's history.

The reason why Google is what it is today is largely because of the PageRank algorithm.

In the early days of the Internet, as the number of web pages on the Internet gradually increased, how to retrieve the pages we wanted from the massive web pages became very important.

At that time, the famous Ya/hoo and other Internet companies tried to solve this problem, but they failed to find a good solution.

It was not until around 1998 that two PhD students at Stanford University, Larry Page and Sergey Brin, jointly invented the famous PageRank algorithm, which perfectly solved the problem of web page ranking.

It is precisely because of this algorithm that Google/Google was born.

PageRank is a technique that calculates the importance of web pages through the hyperlinks between them.

It is named after the surname of Google founder Larry Page. Google’s naming it also reflects the importance of the algorithm.

This algorithm can calculate the numerical value that reflects the relevance and importance of a web page.

PageRank determines the rank of a page through the vast hyperlink relationship on the Internet. It interprets the link from page A to page B as page A voting for page B. Google/Google determines the rank and voting target of page A and even pages linked to A.

The grade of B is determined by the grade of B.

Simply put, a high-level page can improve the level of other low-level pages.

This algorithm regards the entire Internet as a directed graph, web pages are nodes in the graph, and links between web pages are edges in the graph.

With the help of this algorithm, the relevance of the root search keywords of different web pages can be measured to rank the web pages.

Over a long period of time, you get search information when you type keywords into Google.

The sequence of web pages corresponding to the series of web pages in the search information is sorted based on the PageRank algorithm.

The importance of this algorithm is evident.

The Page Rank algorithm is not only used in the search engine field.

It has also crossed over into the field of natural language processing (NLP).

The famous TextRank algorithm in NLP is based on the PageRank algorithm.

The TextRank algorithm has always been the core algorithm of the extractive summary algorithm.

Although the TextRank algorithm is currently mainly used in natural language processing.

But it does not mean that this algorithm cannot be applied to search.

After all, the TextRank algorithm and the PageRank algorithm used for search originate from the same root.

Although Lin Hui’s Generative Text Summarization Algorithm (GTSA) appears to be a text processing algorithm.

But in fact it also has the potential to be used in the future search field.

Compared with the PageRank algorithm, it ranks web page hyperlinks.

With the GTSA algorithm, Google can go further and directly crawl the top-ranked web page content under the PageRank algorithm to obtain corresponding information.

Perform a second precise sorting based on the criticality of the information and search keywords.

This can undoubtedly greatly improve the accuracy of Google/Google searches.

Although it is difficult to embed the generative text summarization algorithm under the PageRank algorithm with current technology to ensure high search efficiency.

But who can guarantee that future servers and computing power levels will not advance by leaps and bounds?

What if technology can skyrocket in the future?

And even if Google cannot use this technology in the search field in a short period of time.

The powerful text processing capabilities demonstrated by the generative text summarization algorithm are also technologies worthy of Google's attention.

Anyway, judging from the wording of the task assigned by Google.

Google not only pays attention to generative text summarization algorithms.
To be continued...