首页> 美国政府科技报告 >Natural Language Text Retrieval Using a Large Semantic Network
【24h】

Natural Language Text Retrieval Using a Large Semantic Network

机译:利用大型语义网络进行自然语言文本检索

获取原文

摘要

The primary objective of this SBIR effort is to explore and demonstrate advancedperformance in precision and recall for text retrieval software. Advanced performance will be accomplished by using dictionaries (specifically WordNet from Princeton University) and other enhancements to the base technology of ConQuest (improved ranking, syntactic processing, etc). Demonstration of accuracy will be performed as a series of retrieval experiments and tests, using the TREC-2 corpus and queries.

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