Tuesday, January 17, 2012

Question for Dennis M. Race: Can A Computer be Paranoid, Unemployable, and Potentially Violent?

http://www.popsci.com/technology/article/2011-04/thats-what-she-said-software-recognizes-pervy-double-entendres-automatically

Double entendres have been making us laugh since the days of Chaucer and Shakespeare, but up until now computers weren't in on the joke. ChloƩ Kiddon and Yuriy Brun, two computer scientists at the University of Washington, have developed a system for recognising a particular type of double entendre - the "that's what she said" joke, in which seemingly innocent sentences can be transformed into lewd utterances by appending just four short words.

The pair describe the "TWSS problem" as recognising when it is funny to follow a sentence with "that's what she said" - they give "Don't you think these buns are a little too big for this meat?" as one example. The equivalent in the UK is appending sentences with "as the actress said to the bishop" and is used in the same way.

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 twssstories.com and non-TWSS text from sites such as wikiquote.org.

The system turned out to be around 70% accurate, but the pair say this is deceptively low because much of the training data did not consist of TWSS jokes, and with a more even data set it could achieve 99.5% precision.

The results will be presented at the Annual Meeting of the Association for Computational Linguistics in June. Future work could also see DEviaNT extended to identify other kinds of jokes, say the researchers, writing "The technique of metaphorical mapping may be generalised to identify other types of double entendres and other forms of humor".

That's what she said.


http://www.newscientist.com/blogs/onepercent/2011/04/software-works-out-whether-tha.html

3 comments:

Gary Freedman said...

"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"."

_________

DHR Finding of Fact 4(f):

(f) Some time in April 1991, when it was warm enough to eat lunch outdoors, Complainant began to eat lunch on a park bench at DuPont Circle. One afternoon upon Complainant’s return to the office from lunch, at about the time he first began to eat lunch at DuPont Circle, as Complainant was seated at his desk, his supervisor, Chris Robertson, said, in loud tone of voice to another employee, Melissa Whitney, seated near Complainant, “Are you wet?”

Gary Freedman said...

Maybe I DO have Google cognition?

http://dailstrug.blogspot.com/2010/08/suny-health-and-science-center-likes-my.html

Gary Freedman said...

Question for the computer experts. It's what I call the Bush/Clinton problem.

George Bush (talking about the economy): This sucker is going down.

Bill Clinton (talking about a WH intern): This sucker is going down.