Acquisition of Know-How Information from Web

被引：0

作者：

Kozawa, Shunsuke ^{[1
]}

Uchimoto, Kiyotaka ^{[2
]}

Matsubara, Shigeki ^{[1
]}

机构：

[1] Nagoya Univ, Chikusa Ku, Furo Cho, Nagoya, Aichi 4648601, Japan

[2] Natl Inst Informat & Commun Technol, Tokyo, Japan

来源：

INFORMATION RETRIEVAL TECHNOLOGY | 2011年 / 7097卷

关键词：

know-how; how-to type question answering; object; usage information; procedural question;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A variety of know-how such as recipes and solutions for troubles have been stored on the Web. However, it is not so easy to appropriately find certain know-how information. If know-how could be appropriately detected, it would be much easier for us to know how to tackle unforeseen situations such as accidents and disasters. This paper proposes a promising method for acquiring know-how information from the Web. First, we extract passages containing at least one target object and then extract candidates for know-how from them. Then, passages containing the know-how are discriminated from non-know-how information considering each object and its typical usage.

引用

页码：446 / +

页数：2

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