Spatio-temporal Conditioned Language Models

被引：2
|
作者：
Diaz, Juglar [1 ]
机构：
[1] Univ Chile, Santiago, Chile
来源：
PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20) | 2020年
关键词：
spatio-temporal text data; language modeling; neural networks;
D O I：
10.1145/3397271.3401450
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
引用
收藏
页码：2478 / 2478
页数：1
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