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@TaliaRinger Okay, so 1st some history. There was a big statistical revolution in the 90s, coming out of earlier work on ASR & statistical MT. By about 2003, Bob Moore (of MSR) was going around with a talk gloating about how over ~10yrs ACL papers went from mostly symbolic to mostly stats.
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@TaliaRinger That statistical NLP work was still closely coupled with understanding the shape of the problem being solved, specifically in feature engineering. Then (2010s) we got the next "invasion" from ML land (deep learning) where the idea was the computer would learn the features!
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@TaliaRinger Aside: As a (computational) linguist who saw both of these waves (though I really joined when the first was fully here), it was fun, in a way, to watch the established stats NLP folks be grumpy about the DL newcomers.
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