出版社：Consejo Superior de Investigaciones Científicas
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.
关键词：Question-Answering Systems;performance analysis;definitional questions;factoid question;list questions;evaluation;Recuperación de información;sistemas de búsqueda de respuestas;evaluación;medidas de evaluación;World Wide Web
