There was a time, not too far away, in which everything that a computer was able to understand it was a string of “0″ and “1″, the machine could “translate” into something understandable for a human being. That time is definitely over, as evidenced by “DeepText” Facebook , a system AI be able to understand what we write with a level of accuracy almost human.
“ an understanding of the text includes multiple tasks , as a general classification to determine what you mean a post, for example basketball, and the recognition of organizations, such as the names of the players, statistics of a game and other significant information, “explain to Facebook.
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“But to get closer to how humans understand a text, we need to teach the computer to understand things like slang and disambiguation of the meaning of words. for example, if someone says ‘I like blackberry’, means the fruit (in English ‘blackberry’ means ‘default’) or the device? “.
It is quite obvious shades for a human being, but hard to grasping for a computer . Not for DeepText, which will then be able to take advantage of this ability to give users suggestions based on what you write.
Let’s give some examples: If a Messenger wrote that we are thinking you into buying a new smartphone of a specific make, DeepText would be able to figure out that you’re not just talking about smartphones in general and may suggest some attractive offers on some e-commerce site. On the opposite side, if you were instead planning to sell something, DeepText would understand and would suggest you to create a specific post for sale.
The thing could turn up your mouth to someone, since this means that approximately Facebook will keep an eye on our posts and our private messages . But there is not only a commercial logic behind. Or, rather, there may be some benefits for users who will go beyond pure commercial logic, but will cover how social networks can be a nice virtual place to visit.
Thanks to DeepText will be possible to evaluate greater precision what matters most to a user: for example, if someone would write that a band makes him sick, the artificial intelligence system would understand that the user is not talking about that band to express appreciation, and thus will avoid to make him see news about.
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another use particularly significant will be related to verbal abuse and to hate speech , recently finished also in the sights of the European Commission. The artificial intelligence system DeepText will in fact be able to distinguish real hate speech from simple sentences that contain controversial terms.
In this way, the recipient of a verbal abuse could directly prevent to come into contact with such content. Moreover, according to Facebook today its artificial intelligence systems can eliminate multiple photos from social networks that do not respect the terms of service than they are able to do the users with their reports.
It is a feature that should be implemented as soon as possible, as with user reports can sometimes create paradoxical situations. For example, an activist for gay rights in the Facebook group “I Milan Sentinelli” has been blocked for 30 days. His crime? Having used too many times in her post the word “fagot”. No homophobic intent, of course, but that was enough because his post were reported and considered offensive. It is hoped that DeepText be able to better distinguish between irony and real insults.
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