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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:ADAPT中心锥体小组在IJCNLP-2017上的任务5:在考试共享任务中基于相似度的Logistic回归方法进行多项选择题回答

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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:我们描述了爱尔兰ADAPT中心的一个团队在解决自动选择题中的多项选择题答卷中的工作。该系统基于对问题,答案和其他文本之间的字符串相似性进行逻辑回归。我们在六个系统中获得了最高的评分:验证集的准确度为48.7%(基线为29.45%),测试集的准确度为45.6%。

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