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ADAPT Centre Cone Team at IJCNLP-2017 Task 5: A Similarity-Based Logistic Regression Approach to Multi-choice Question Answering in an Examinations Shared Task

机译:适应中心锥团队在IJCNLP-2017任务5:在考试中的多项选择问题的基于相似性的逻辑回归方法,共享任务

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We describe the work of a team from the ADAPT Centre in Ireland in addressing automatic answer selection for the Multi-choice Question Answering in Examinations shared task. The system is based on a logistic regression over the string similarities between question, answer, and additional text. We obtain the highest grade out of six systems: 48.7% accuracy on a validation set (vs. a baseline of 29.45%) and 45.6% on a test set.
机译:我们在爱尔兰的适应中心描述了一支团队的工作,以解决在考试中的多项选择问题的自动答案选择。系统基于问题,答案和其他文本之间的字符串相似性上的逻辑回归。我们获得六种系统的最高等级:验证集的准确性48.7%(与29.45%的基线)和45.6%的测试集。

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