Knowledge and reasoning for question answering: Research perspectives

被引：6

作者：

Saint-Dizier, Patrick ^{[2
]}

Moens, Marie-Francine ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Dept Comp Sci, B-3001 Heverlee, Belgium

[2] CNRS, IRIT, F-31062 Toulouse, France

来源：

INFORMATION PROCESSING & MANAGEMENT | 2011年 / 47卷 / 06期

关键词：

Question classification; Relation extraction; Discourse classification; Knowledge acquisition and reasoning;

D O I：

10.1016/j.ipm.2011.04.001

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a roadmap of current promising research tracks in question answering with a focus on knowledge acquisition and reasoning. We show that many current techniques developed in the frame of text mining and natural language processing are ready to be integrated in question answering search systems. Their integration opens new avenues of research for factual answer finding and for advanced question answering. Advanced question answering refers to a situation where an understanding of the meaning of the question and the information source together with techniques for answer fusion and generation are needed. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：899 / 906

页数：8

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