干货分享：明斯基、乔姆斯基和深度网络 | 顶级计算语言学家Ken Church@CCL 2018主旨报告

本文转载自公众号 汉语堂 

报告人：Kenneth Ward Church (Baidu Research Fellow)

题    目：Minsky, Chomsky & Deep Nets

摘    要：When Minsky and Chomsky were at Harvard in the 1950s, they started out their careers questioning a number of machine learning methods that have since regained popularity. Their objections are remembered as too negative: ngrams can't do this and nets can't do that. But more constructively, their arguments led to what is now known as the Chomsky Hierarchy and time and space complexity. The deep nets literature needs a high-level organization like the Chomsky Hierarchy. There are so many results being published these days that it is hard to see the big picture.My colleagues at Baidu have proposed a metric for ranking deep net problems by a metric of difficulty. There is no data like more data, but more data helps more for some problems than others. Their ranking suggests that more data is particularly helpful for problems that people are really excited about in speech and vision, and less so for problems in computational linguistics.

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