Toward natural language understanding by machine reading comprehension

被引：0

作者：

Nishida, Kyosuke ^{[1
]}

Saito, Itsumi ^{[1
]}

Otsuka, Atsushi ^{[1
]}

Nishida, Kosuke ^{[1
]}

Nomoto, Narichika ^{[1
]}

Asano, Hisako ^{[1
]}

机构：

[1] Knowledge Media Project, NTT Media Intelligence Laboratories, Japan

来源：

NTT Technical Review | 2019年 / 17卷 / 09期

关键词：

D O I：

暂无

中图分类号：

TB18 [人体工程学]; Q98 [人类学];

学科分类号：

030303 ; 1201 ;

摘要：

The ability of artificial intelligence (AI) to comprehend text is becoming a major topic of discussion. While natural language understanding by AI poses a difficult problem, a significant improvement in AI reading comprehension has been achieved in recent years through the application of deep learning techniques. This article introduces machine reading comprehension technology now under research and development at NTT with the aim of achieving an agent that can understand business knowledge written in manuals, understand the language used by customers, and provide appropriate answers to questions. © 2019 Nippon Telegraph and Telephone Corp.. All rights reserved.

引用

页码：9 / 14

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