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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Analysis and Assessment of Cross-Language Question Answering Systems

Analysis and Assessment of Cross-Language Question Answering Systems
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Author(s): Juncal Gutiérrez-Artacho (University of Granada, Spain) and María-Dolores Olvera-Lobo (CSIC, Unidad Asociada Grupo SCImago and University of Granada, Spain)
Copyright: 2018
Pages: 9
Source title: Encyclopedia of Information Science and Technology, Fourth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-2255-3.ch388

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Abstract

Within the sphere of the Web, the overload of information is more notable than in other contexts. Question answering systems (QAS) are presented as an alternative to the traditional Information Retrieval (IR) systems, seeking to offer precise and understandable answers to factual questions instead of showing the user a list of documents related to a given search . Given that the QAS is presented as a substantial advance in the improvement of IR, it becomes necessary to determine its effectiveness for the final user. With this aim, 7 studies were undertaken to evaluate: a) in the first two, the linguistic resources and tools used in these systems for multilingual retrieval (Research 1; Research 2); and b) the performance and quality of the answers of the main monolingual and multilingual QA of general domain and specialized domain in the Web in response to different types of questions and subjects, so that different evaluation means can be applied (Research 3, Research 4, Research 5, Research 6, Research 7).

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