首页> 外文期刊>電子情報通信学会技術研究報告. 言語理解とコミュニケーション. Natural Language Understanding and Models of Communication >Document retrieval based on word co-occurrences extracted from educational information resources on the Internet
【24h】

Document retrieval based on word co-occurrences extracted from educational information resources on the Internet

机译:根据Internet上的教育信息资源提取的单词共同发生文件检索

获取原文
获取原文并翻译 | 示例
       

摘要

Currently it is difficult to easily find usable educational contents from a lot of various information resources on the Internet. In this article, we propose a new method to expand the user's query, based on word co-occurrences extracted from classified educational documents. In our recent experiment using newspaper articles, a single-word query with several additional major co-occurrent words showed better result with higher precision, in a case of 7 subcategories for high school science domain. This tendency seems prominent in lower recall part of the results, and will contribute to efficient educational information retrieval.
机译:目前很难从互联网上的许多信息资源中轻松找到可用的教育内容。 在本文中,我们提出了一种新方法来扩展用户的查询,基于从分类的教育文档中提取的单词共同发生。 在我们最近的实验中使用报纸文章,具有几个额外的主要共生词的单词查询显示出更高的精度,在高中科学领域的7个子类别的情况下,更高的精度。 这种趋势在较低的召回部分结果中似乎突出,并将有助于有效的教育信息检索。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号