Tuesday, March 12, 2019

Artificial intelligence is learning not to be so literal

From Science News.org (Feb. 5):

HONOLULU — Artificial intelligence is starting to learn how to read between the lines.

AI systems are generally good at responding to direct statements, like “Siri, tell me the weather” or “Alexa, play ‘Despacito’.” But machines can’t yet make small talk the way humans do, says Yejin Choi, a natural language processing researcher at the University of Washington in Seattle. When it comes to conversational nuances like tone and idioms, AI still struggles to understand humans’ intent.

To help machines participate in more humanlike conversation, researchers are teaching AI to understand the meanings of words beyond their strict dictionary definitions. At the recent AAAI Conference on Artificial Intelligence, one group unveiled a system that gauges what a person really means when speaking, and another presented an AI that distinguishes between literal and figurative phrases in writing.

One key conversation skill is picking up on subtext. Someone’s facial expression or intonation can significantly change the implication of their words, says Louis-Philippe Morency, an artificial intelligence researcher at Carnegie Mellon University in Pittsburgh. Describing a movie as “sick” with a grimace conveys something totally different than calling it “sick” with an excited tone and raised eyebrows.

Morency and colleagues designed an artificial intelligence system that watched YouTube clips to learn how nonverbal cues, like facial expressions and voice pitch, can affect the meaning of spoken words. [read more]

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