Title :
A Trend Analysis of the Question Answering Domain
Author :
Blooma, Mohan John ; Chua, Alton Yeow Kuan ; Goh, Dion Hoe-Lian ; Keong, Lee Chu
Author_Institution :
Wee Kim Wee Sch. of Commun. & Inf., Nanyang Technol. Univ., Singapore
Abstract :
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.
Keywords :
Internet; citation analysis; classification; information retrieval; natural languages; user interfaces; Web; answer extraction; bibliometric mapping; citation analysis; coword analysis; information retrieval; natural language; performance evaluation; question answering domain; question classification; trend analysis; user interface; Bibliometrics; Buildings; Data mining; Information analysis; Information retrieval; Information technology; Natural languages; Performance analysis; User interfaces; Visualization; bibliometric mapping; co-word analysis; question answering;
Conference_Titel :
Information Technology: New Generations, 2009. ITNG '09. Sixth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-3770-2
Electronic_ISBN :
978-0-7695-3596-8
DOI :
10.1109/ITNG.2009.96
