计算机科学 ›› 2018, Vol. 45 ›› Issue (6A): 72-74.
谭红叶1,2,武宇飞1
TAN Hong-ye1,2,WU Yu-fei1
摘要: 阅读理解任务是在给定的单篇文本上,要求计算机根据文本的内容对相应的问题作出回答。以北京语文高考阅读理解为背景,对其中的词义判断题进行了分析与研究,提出了一个基于支持度计算的解答框架,并尝试使用语言模型、点互信息与句子相似度3种方法来计算支持度。通过实验验证,3种方法在真实数据集和自动构造的数据集上均有一定成效。其中,基于点互信息的支持度计算方法在真实数据集上表现最好,获得了75%的选项正确率。
中图分类号:
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