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Author Liang, Percy
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Language English
Abstract Natural language understanding is as old as computing itself, but recent advances in machine learning and the rising demand of natural-language interfaces make it a promising time to once again tackle the long-standing challenge.
Description Affiliation: Stanford University (Liang, Percy)
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-12-30
Publisher Place New York
Journal XRDS: Crossroads, The ACM Magazine for Students (XRDS)
Volume Number 21
Issue Number 1
Page Count 4
Starting Page 18
Ending Page 21


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Source: ACM Digital Library