Scientists Finally Tackle The Age Old 'That's What She Said' Problem

from the it-was-hard-and-it-took-forever dept

Forget the traveling salesman problem or p=np, some computer scientists have finally tackled the really big challenge for computers: teaching them how to understand the innuendo and double entendres necessary to make a "that's what she said" joke. Yes, all other computer science pale in comparison, so kudos to Chloe Kiddon and Yuriy Brun for tackling such a difficult challenge:
Automating this process means identifying sentences that contain potential euphemisms and follow a particular structure - a "hard natural language understanding problem", say the researchers. Kiddon and Brun began by analysing two different bodies of text - one containing 1.5 million erotic sentences, and another with 57,000 from standard literature.

They then evaluated nouns, adjectives and verbs with a "sexiness" function to determine whether a sentence is a potential TWSS. Examples of nouns with a high sexiness function are "rod" and "meat", while raunchy adjectives are "hot" and "wet".

Their automated system, known as Double Entendre via Noun Transfer or DEviaNT, rates sentences for their TWSS potential by looking for particular elements such as nouns that can be interpreted in multiple ways. The researchers trained DEviaNT by gathering jokes from and non-TWSS text from sites such as
Apparently, the system is about 70% accurate so far, but they believe they can get it up to 99.5% accuracy before too long.

I'm sorry, Watson, but this may be the biggest computing/artificial intelligence story of the year. And, already, the race is on to come up with the appropriate jokes. My favorite so far was this quote for the researchers on this project: "It was hard and it took forever."

Filed Under: computers, double entendre, jokes, that's what she said

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  1. identicon
    Lawrence D'Oliveiro, 29 Apr 2011 @ 9:30pm



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