關鍵字查詢 | 類別:會議論文 | | 關鍵字:A Study on Machine Learning for Imbalanced Datasets with Answer Validation of Question Answering

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序號 學年期 教師動態
1 104/2 資管系 戴敏育 副教授 會議論文 發佈 A Study on Machine Learning for Imbalanced Datasets with Answer Validation of Question Answering , [104-2] :A Study on Machine Learning for Imbalanced Datasets with Answer Validation of Question Answering會議論文A Study on Machine Learning for Imbalanced Datasets with Answer Validation of Question AnsweringMin-Yuh Day; Cheng-Chia TsaiAnswer Validation;Imbalanced Datasets;Machine Learning;Question Answering;QA-Lab;Support Vector MachineProceedings of the 2016 IEEE 17th International Conference on Information Reuse and Integration (IEEE IRI 2016)Question Answering is a system that can process and answer a given question. In recent years, an enormous number of studies have been made on question answering; little is known about the effects of imbalanced datasets with answer validation of question answer system. The objective of this paper is to provide a better understanding of the effects of imbalanced datasets model for answer validation in a real world university entrance exam question answering system. In this paper, we proposed a question answer system and provided a comprehensive analysis of i
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