智能文本搜索新技术

面对当今互联网上海量的信息,以及搜索信息准确、高效、个性化等需求,提出了一套包括信息检索、信息抽取和信息过滤在内的智能文本搜索新技术.首先举荐了与信息检索新技术相关的企业检索、实体检索、博客检索、相关反馈子任务.然后介绍了与信息抽取技术相关的实体关联和实体填充子任务,以及与信息过滤技术相关的垃圾邮件过滤子任务.这些关键技术融合在一起,在多个著名的国际评测中得到应用,如美国主办的文本检索会议评测和文本分析会议评测,并且在互联网舆情、短信舆情和校园网对象搜索引擎等实际系统中得到了检验.

New technologies of intelligent text search

To adapt to the massive amount of information on the internet and the need for accuracy,efficiency,and individualization,a set of technologies of intelligent text search including information retrieval,extraction,and filtering were proposed.First,new technologies of information retrieval were illustrated including the subtasks of enterprise retrieval,entity retrieval,blog retrieval,and relevance feedback.Second,the subtask of entity linking and slot filling related to information extraction was introduced.Finally,the subtask of spam e-mail filtering related to information filtering was described.These technologies were converged for application in many well-known international evaluations.These include the text retrieval conference(TREC) and text analysis conference(TAC) sponsored in the USA,and these technologies of intelligent text search were proven in practical applications such as public opinions on the Internet,short message opinions,and the campus object search engine(COSE).