Crossover: 2014

Chapter 154 Are You Eager to Open That Door (Part [-])
This kind of bad idea is not enough for outsiders.

There are sisters who are so alike.

It was indeed a bit beyond Lin Hui's expectation.

Eve Carly introduced Lin Hui with a smile: "Are you confusing us?
This is my twin sister - Mina Kali, you can call her Mina. "

After that, Eve Carly introduced to Mina Carly: "This is Mr. Lin Hui, I mentioned it to you earlier."

After speaking, Eve Carly took out a pair of glasses from her bag and put them on, as if to make it easier for Lin Hui to distinguish.

In fact, there is no need, except that Lin Hui was a little confused when he saw the pair of sisters just now.

At this moment, Lin Hui could already tell who was who.

No matter how similar the appearance is, the temperament cultivated by different growth environments is completely different.

This difference in temperament was enough for Lin Hui to distinguish the two.

In addition to temperament, the two sisters are actually a little different.

For example, the smell of perfume on two people is different;
Let's say...

Speaking of this, it may be that humans are very different from computers.

It is actually very difficult for a computer or machine to distinguish a pair of twins who look so close.

Even gait analysis, which claims to be absolutely error-free, can actually make mistakes.

Compared with various program algorithms for machine learning.

The recognition of the human brain seems to be out of order, but it happens to be extremely efficient.

What's behind this really got researchers in machine learning curious...

……

After Eve Carly's introduction.

Lin Hui greeted Mina Kali again:
"Hi, I'm Lin Hui. I'm really sorry that I accidentally confused you with your sister just now."

Mina Kali said: "It's okay, my sister and I lived together almost until we were adults, and many people will confuse us."

Mina Kali doesn't speak English, but perfect Mandarin.

This surprised Lin Hui. Lin Hui said, "You can speak Chinese? That's amazing."

Mina Kali didn't take it seriously, and asked, "Don't you also speak English?"

Lin Hui: "It's different. For non-native speakers, Chinese is much more difficult to learn than English."

Mina Kali agreed with this point: "Chinese is indeed much more difficult to learn than English.

But you should also know a word, interest is the best teacher.

Huaguo is an ancient country, but it is always new. Such a country is naturally fascinating.

I fell in love with the culture of this country the first time I encountered it...

At that time, I was particularly obsessed with Tang poetry.

Driven by my interest, I started to study Chinese by myself. "

This obsession with Lin Hui is not surprising.

For a moment, Lin Hui thought of David Yang, who had worked hard to learn Chinese because of the RR game.

Lin Hui: "You are self-taught?
Just from your accent, I thought you had been in Huaguo for many years. "

Mina Kali: "Thanks for the compliment, and not entirely self-taught.

When I was at Harvard University, my research direction was East/Asian languages.

Recently, I was a visiting scholar at Shuimu University in China..."

A visiting scholar?
In Lin Hui's impression, the visiting scholars seem to be at the doctoral level?

If this is the case, then the sisters are really good friends.

It's all the genes of a master.

One has a Ph.D. in linguistics, and the other has a Ph.D. in computer science.

Strong and invincible.

Speaking of Mina, although Lin Hui was dealing with her for the first time.

But generally get along pretty well.

Mina makes people feel that there is no sense of distance.

Lin Hui remembers reading a report in which magazine analyzed the personalities of twins, saying that twin sisters often have very different personalities:

Generally speaking, older sisters have a more lively personality, while younger sisters are more introverted.

This situation is obviously not suitable for the two sisters Eve and Mina Carrie.

Although Mina Carly is a younger sister, her personality is obviously much more outgoing than Eve Carly.

After Lin Hui exchanged greetings with Mina Kali, Mina Kali started talking.

Lin Hui was so happy that if Eve Carly came up, he would discuss various professional topics with Lin Hui.

Lin Hui really didn't know where to start.

The three of them walked towards the outside of the airport while talking.

Along the way, it attracts the attention of pedestrians from time to time.

It is also understandable that the combination of handsome men and beautiful women is very eye-catching.

……

Through talking with Lin Hui, I know that the MIT academic delegation has arrived at Shuimu University.

In fact, this academic delegation from MIT.

The purpose of this visit to China is Lin Hui.

But out of some superficial etiquette.

At this time, the MIT delegation still had to attend the academic conference in Shuimu.

Eve Carly temporarily left the team because of the strong curiosity in her heart.

He rushed to Beiyu City first.

And the reason why Mina Carly went with Eve Carly was to serve as a temporary translator.

MIT's academic visit to Shuimu is accompanied by an interpreter.

However, the translator is currently participating in various academic conferences with the visiting team from the Massachusetts Institute of Technology.

Although Lin Hui can speak English, it is only limited to normal communication.

When it comes to academic communication, Lin Hui's current English level is really not enough.

Patronizing and looking forward to the meeting with Eve Carly did not consider the communication problem when meeting with Eve Carly.

This was indeed Lin Hui's negligence.

However, Lin Hui also didn't think Eve Carly's approach was very reliable.

Find someone like Mina Kali who has no corresponding academic background to act as a translator?
Lin Hui doubts that Mina Kali can do the job of translation.

It's not that Lin Hui despises people.

But after all, every row is like a mountain.

For example, let's say "receptive field"

Indigenous people.

It is not the first time for someone who is not professionally related to see such a vocabulary, and nine times out of ten, he will be stunned and bewildered.

Not to mention crooked nuts.

Lin Hui doubts whether a translation like Mina Kali is reliable.

But it's not good for Lin Hui to question Mina Kali's professionalism before the translation officially started.

At this time, Eve Carly suggested to Lin Hui that Lin Hui should find another interpreter so that he could directly interpret simultaneously.

The so-called simultaneous interpretation means that translators perform translation and simultaneous interpretation work without interrupting the conversation of the communicators, which can greatly improve the efficiency of communication.

I have to say that such a suggestion is really good.

Otherwise, even Mina Kali can do the translation work.

If Lin Hui and Eve communicate at intervals, the communication efficiency will not be very high.

But where should Lin Hui find an interpreter?

And it needs people who have both computer background and can be qualified for translation work.

Lin Hui immediately thought of Huang Jing.

Lin Hui remembered that Huang Jing was a master of Southern University.

It doesn't seem to be a big problem for such a degree to act as a computer translator.

Lin Hui tentatively asked Huang Jing's opinion over the phone.

Huang Jing seemed to have been waiting for Lin Hui's call for a long time.

He didn't wait for Lin Hui to elaborate.

He agreed to Lin Hui's request almost without thinking.

……

Eve Carly and Mina Carrie after settling in the hotel.

About three o'clock in the afternoon on the 23rd.

The four started an academic discussion.

Of course, it is mainly Lin Hui and Eve Carly who are discussing.

The nature of this discussion is somewhat similar to a small symposium or a brainstorming session.

The meeting place this time was not in public, but in 1, Building 601, Zhuangyuan Academy.

This place is the commercial house that Lin Hui won at the commendation meeting not long ago.

150 million cash received at the commendation meeting.

Lin Hui didn't keep it and gave it to his parents directly. Of course, it took a lot of trouble for Lin Hui to give the money to his parents.

Lin Hui originally planned to give this house to his parents, but Lin's father and Lin's mother refused.

Lin Hui's family is not short of housing.

Lin Hui didn't insist either, so he simply kept the house for himself.

Speaking of which, it was the first time for Lin Hui to come to this place.

More than 130 square meters with attached room.

Houses are basically the same these days, and the layout is not as good as it will be in the next few years.

Of course, Lin Hui got this house as a prize.

He doesn't seem to be able to pick and choose yet.

The place at the Zhuangyuan Academy is not bad.

In the old city on the west side of Beiyu City, although it is not far from the surrounding schools including Sanxiao.

But here is a quiet place, which has a special flavor.

Not far from here is a newly completed artificial lake.

The scenery is not bad.

The environment is relatively quiet.

It was for these reasons that Lin Hui chose this place as the place for negotiation.

A quiet environment is more conducive to deep thinking.

The discussion started, and Eve Carly first introduced to Lin Hui the many difficulties she encountered in the research.

In fact, Lin Hui remembered that Eve Carly had already explained these things in the previous email.

But now it is explained in more detail.

Lin Hui listened patiently.

Lin's previous worry seemed a little unnecessary.

Although Mina Kali has not engaged in related majors.

But in the end it is sisterly love, and Eve Carly uses as easy-to-understand language as possible when expressing it.

Try to take care of Mina's feelings.

Sometimes even Lin Hui could directly understand what Eve Carly was saying.

Despite this, Lin Hui still did not lose the translator (Huang Jing) to communicate with Eve Carly.

Some big cows obviously know English.

Why do we still have to bring a translator when it comes to some important occasions?

Translation is not all about translation itself.

More for some fault tolerance.

Although Lin Hui is quite familiar with things like text summarization, there are very few mistakes.

But after all, the two time and space are somewhat different.

Wouldn't it be embarrassing for Lin Hui to accidentally reveal something.

In front of ordinary people, if Lin Hui accidentally exposed some professional flaws, it might be difficult to find out.

If you communicate directly with Eve Carly.

In the face of a direct conversation with a colleague, Lin Hui can't guarantee that he won't show his feet.

If there is a translator, there is more or less a layer of buffer.

Even so, Lin Hui still has to be cautious when speaking.

Eve Carly introduced to Lin Hui how people evaluate text similarity in this time and space.

According to Eve Kali's statement, Lin Hui only knew about it.

It turns out that people in this time and space mainly use knowledge base-based methods to calculate semantic text similarity.

However, people in this time and space mainly use the method based on network knowledge to calculate.

Lin Hui knew this method.

This type of method is a kind of similarity calculation based on the knowledge base.

This method mainly uses large-scale knowledge base resources on the Internet, such as Wikipedia and Ferry Encyclopedia.

The similarity calculation is performed through web content and hyperlinks between web pages.

With the rapid development of the Internet, network knowledge is becoming more and more abundant.

It is a good idea to make full use of the resources in the network for semantic text similarity calculation.

However, the method based on the knowledge base to calculate the semantic text similarity is not the only method.

As far as Lin Hui knows, the semantic text similarity calculation method based on knowledge base can be divided into two categories according to the type of knowledge base.

In addition to words based on network knowledge methods.

Another category is ontology-based methods.

Such methods use structured semantic dictionaries for computation.

The basic idea is to use the conceptual information contained in these semantic dictionaries and the hierarchical relationship between concepts to calculate the semantic text similarity.

It stands to reason that since you think of the semantic text similarity calculation method based on the knowledge base, you should first think of the ontology-based similarity calculation method.

Why didn't you think of an ontology-based approach first?

Instead, you first thought of the method based on network knowledge?

Recalling Eve's previous self-introduction, Lin Hui suddenly realized.

Eve's team didn't expect this approach to be understandable, either.

After all, Eve's team originally cooperated deeply with Google.

It is not easy to calculate the similarity between web content and hyperlinks based on network knowledge.

However, after the PageRank algorithm of Google/Google's old line is introduced into the NLP field, the function realized is similar to this.

From this point of view, it is understandable that Eve's team, which has had an in-depth cooperative relationship with the Google/Google team, ignores ontology-based methods and directly chooses network-based knowledge-based methods.

It is not easy to calculate the similarity based on the network knowledge method.

After all, the granularity of knowledge in web pages is relatively coarse.

To put it bluntly, there are few useful things on the web page.

In addition, the knowledge structure of some web pages is relatively low.

If all the webpage links are analyzed directly, it will lead to problems such as sparse knowledge content and difficult calculation.

Therefore, it is necessary to find a webpage with high webpage structure and concentrated knowledge content to develop a method for evaluating text similarity based on web knowledge.

What kind of webpage has this characteristic?
Wiki Encyclopedia and Ferry Encyclopedia.

Only these two corresponding webpages have both high degree of webpage structure and more useful things in the webpage.

Because of this, Lin Hui remembers that Google/Google and Ferry were the two main companies engaged in text similarity recognition based on network knowledge in his previous life.

Speaking of which, it is still a bit of strength to be able to stay at the top of B/AT for a long time.

At least it's not as ostentatious as outsiders think.

Eve Carly then introduced in detail some content based on web page knowledge text recognition.

The reason for introducing this aspect in detail.

Lin Hui knew, but Eve Carly was still curious about what kind of similarity model Lin Hui used to evaluate the semantic correlation between text abstracts and abstracts?

Lin Hui didn't answer directly.

Instead, ask: "What do you think about using vector intervention for semantic text similarity calculation?"

(End of this chapter)