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Analysis and Assessment of Cross-Language Question Answering Systems

Analysis and Assessment of Cross-Language Question Answering Systems

Juncal Gutiérrez-Artacho, María-Dolores Olvera-Lobo
Copyright: © 2019 |Pages: 11
ISBN13: 9781522576594|ISBN10: 1522576592|EISBN13: 9781522576600
DOI: 10.4018/978-1-5225-7659-4.ch018
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MLA

Gutiérrez-Artacho, Juncal, and María-Dolores Olvera-Lobo. "Analysis and Assessment of Cross-Language Question Answering Systems." Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2019, pp. 226-236. https://doi.org/10.4018/978-1-5225-7659-4.ch018

APA

Gutiérrez-Artacho, J. & Olvera-Lobo, M. (2019). Analysis and Assessment of Cross-Language Question Answering Systems. In M. Khosrow-Pour, D.B.A. (Ed.), Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry (pp. 226-236). IGI Global. https://doi.org/10.4018/978-1-5225-7659-4.ch018

Chicago

Gutiérrez-Artacho, Juncal, and María-Dolores Olvera-Lobo. "Analysis and Assessment of Cross-Language Question Answering Systems." In Advanced Methodologies and Technologies in Library Science, Information Management, and Scholarly Inquiry, edited by Mehdi Khosrow-Pour, D.B.A., 226-236. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7659-4.ch018

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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, seven studies were undertaken to evaluate: 1) in the first two, the linguistic resources and tools used in these systems for multilingual retrieval (Research 1, Research 2), and 2) 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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