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- W804932610 abstract "Our FRDC_QA team participated in the QA-Lab English subtask of the NTCIR-11. In this paper, we describe our system for solving real-world university entrance exam questions, which are related to world history. Wikipedia is used as the main external resource for our system. Since problems with choosing right/wrong sentence from multiple sentence choices account for about two-thirds of the total, we individually design a classification based model for solving this type of questions. For other types of questions, we also design some simple methods." @default.
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- W804932610 date "2015-05-04" @default.
- W804932610 modified "2023-09-24" @default.
- W804932610 title "A Feature-based Classification Technique for Answering Multi-choice World History Questions" @default.
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- W804932610 doi "https://doi.org/10.48550/arxiv.1505.00863" @default.
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