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.
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页码：446 / +
页数：2
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