计算机科学 ›› 2018, Vol. 45 ›› Issue (6A): 72-74.

• 智能计算 • 上一篇    下一篇

汉语阅读理解中词义判断题的解答研究

谭红叶1,2,武宇飞1   

  1. 山西大学计算机与信息技术学院 太原0300061
    山西大学计算智能与中文信息处理教育部重点实验室 太原0300062
  • 出版日期:2018-06-20 发布日期:2018-08-03
  • 作者简介:谭红叶(1971-),女,博士,副教授,主要研究方向为自然语言处理、信息检索,E-mail:hytan_2006@126.com;武宇飞(1994-),男,硕士生,主要研究方向为中文信息处理,E-mail:598974237@qq.com(通信作者)。
  • 基金资助:
    国家自然科学基金项目(61673248),国家高技术研究发展计划(863计划)项目(2015AA015407),国家自然科学基金青年项目(61100138,61403238,61502287),山西省回国留学人员科研项目(2013-022),山西省2012年度留学回国人员科技活动择优项目资助

Answering Word Sense Judgement Questions in Chinese Reading Comprehension

TAN Hong-ye1,2,WU Yu-fei1   

  1. School of Computer and Information Technology,Shanxi University,Taiyuan 030006,China1
    Key Laboratory for Ministry of Education of Computational Intelligence and Chinese Information Processing, Shanxi University,Taiyuan 030006,China2
  • Online:2018-06-20 Published:2018-08-03

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。

关键词: 词义判断, 阅读理解, 支持度

Abstract: Read comprehension tasks require that computers answer relevant query according to the test context on a given single text.This paper researched judgment of word meaning with the background of reading comprehension in Beijing Chinese college entrance examination,proposed a framework based on support value,which was calculated by n-gram,PMI and sentence similar.The experimental results show that the three methods have good effect on real data and auto data.In all ways,support value based on PMI has the best performance on real data,with the accuracy reaching 75%.

Key words: Judgment of word meaning, Reading comprehension, Support value

中图分类号: 

  • TP391
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