欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
目前信息抽取成为提供高质量信息服务的重要手段,提出面向中文文本信息的自动抽取和相似检索机制,其基本思想是将用户兴趣表示为语义模板,对关键字进行概念扩充,通过搜索引擎获得初步的候选文本集合,在概念触发机制和部分分析技术基础上,利用语义关系到模板槽的映射机制,填充文本语义模板,形成结构化文本数据库.基于文本数据表述的模糊性,给出用户查询与文本语义模板的相似关系,实现了相似检索,可以更加全面地满足用户的信息需求.
英文摘要：
The mechanism of information extraction and similar retrieval for Chinese texts is presented in this paper. Users＇ information interests are represented as semantic Template. The relevant texts are obtained by search engine under conceptual expansion of keywords. Based on conceptual trigger and sentences parser,the text semantic templates are filled in term of the mapping rules between semantic relationship and slots ,so the textual database is built. Considering the fuzzy information from natural language texts, the similarity measure between user＇s queries and text semantic templates are put forward. Moreover, the digital feature of text can be expanded by fuzzy mathematics and calculated about similarity. It is shows that the mechanism of extraction and retrieval can improve the efficiency of users＇ query and meet the more and more information demands.
同期刊论文项目
同项目期刊论文
Web-oriented OOV translation extracting approach through cross-language query expansion for English-
BioPPISVMExtractor:A Protein-Protein Interaction Extractor for Biomedical Literature Using SVM and R
Uncertainty sampling-based active learning for protein-protein interaction extraction from biomedica
期刊信息
位置：