A Trend Analysis of the Question Answering Domain

被引:1
作者
Blooma, Mohan John [1 ]
Chua, Alton Yeow Kuan [1 ]
Goh, Dion Hoe-Lian [1 ]
Keong, Lee Chu [1 ]
机构
[1] Nanyang Technol Univ, Wee Kim Wee Sch Commun & Informat, Singapore 637718, Singapore
来源
PROCEEDINGS OF THE 2009 SIXTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: NEW GENERATIONS, VOLS 1-3 | 2009年
关键词
bibliometric mapping; co-word analysis; question answering; CO-WORD; COCITATION ANALYSIS; INFORMATION; SCIENCE; NETWORK; ASSOCIATION; AREA;
D O I
10.1109/ITNG.2009.96
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present a trend analysis of the question answering (QA) domain. Using bibliometric mapping, we sketched the boundary of the domain by uncovering the topics central to and peripheral to QA research in the new millennium. This paper visualizes the evolution of concepts in the QA domain by studying the dynamics of the QA research during the periods 2000 - 2003 and 2004 - 2007. It was found that question classification, answer extraction, information retrieval, user interface, performance evaluation, web, & natural language were the main topics in current QA research.
引用
收藏
页码:1522 / 1527
页数:6
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