Performance Analysis in Web-based Question Answering Systems

被引:1
|
作者
Olvera-Lobo, Maria-Dolores [1 ,2 ]
Gutierrez-Artacho, Juncal [3 ]
机构
[1] CSIC, Unidad Asociada Grp SCImago, Madrid, Spain
[2] Univ Granada, Dept Informac & Documentac, E-18071 Granada, Spain
[3] Univ Granada, Dept Traducc & Interpretac, E-18071 Granada, Spain
来源
关键词
Question-Answering Systems; performance analysis; definitional questions; factoid question; list questions; evaluation;
D O I
10.3989/redc.2013.2.921
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Information overload is felt more strongly on the Web than elsewhere. Question-answering systems (QA systems) are considered as an alternative to traditional information retrieval systems, because they give correct and understandable answers rather than just offering a list of documents. Four answer search systems available online have been analyzed: START, QuALiM, SEMOTE, and TrueKnowledge. They were analyzed through a wide range of questions that prompted responses of definitions, facts, and closed lists pertaining to different thematic areas. The answers were analyzed using several specific measurements (MRR, TRR, FHS, MAP and precision). The results are encouraging and they show that these systems, although each one different, are potentially valid for precise information retrieval of diverse types and thematic areas.
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页数:10
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