首页> 外文期刊>Journal of Applied Logic >Question answering and database querying: Bridging the gap with generalized quantification
【24h】

Question answering and database querying: Bridging the gap with generalized quantification

机译:问题解答和数据库查询:弥合差距与广义量化

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Even though Questions Answering and Database Querying have very different goals and frameworks, collaboration between the two fields could be mutually beneficial. However, the different assumptions in each field makes such collaboration difficult. In this paper, we introduce a query language with generalized quantifiers (QLGQ) and show how it could be used to help bridge the gap between the two fields.
机译:即使“问题回答”和“数据库查询”具有不同的目标和框架,但两个领域之间的合作可能会互惠互利。但是,每个领域的不同假设使这种协作变得困难。在本文中,我们介绍了一种带有广义量词(QLGQ)的查询语言,并说明了如何使用它来帮助缩小两个字段之间的差距。

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