Learning Executable Semantic Parsers for Natural Language Understanding

被引：63
|
作者：
Liang, Percy [1 ]
机构：
[1] Stanford Univ, Comp Sci, Stanford, CA 94305 USA
来源：
COMMUNICATIONS OF THE ACM | 2016年 / 59卷 / 09期
关键词：
D O I：
10.1145/2866568
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A LONG-STANDING GOAL of artificial intelligence (AI) is to build systems capable of understanding natural language. To focus the notion of "understanding" a bit, let us say the system must produce an appropriate action upon receiving an input utterance from a human.
引用
收藏
页码：68 / 76
页数：9
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