The paper takes the example of words of " begin " & " finish " , on the foundation of surveying their combination configuration , interprets them from four angle : ( 1 ) forming words by asymmetry and symmetry ; ( 2 ) syntactic structure and semantic structure ; ( 3 ) common sememe and different sememe ; ( 4 ) polysemy morpheme and jargon transmutation 摘要本文以“开始” 、 “结束”义词语为例，在考察“开始” 、 “结束”义词群组合形态的基础上，从不对称构词与对称构词、句法结构与语义结构、共同义素与区别义素和多义语素与行业转化等四个视角进行阐释。
A concept - based approach is expected to resolve the word sense ambiguities in information retrieval and apply the semantic importance of the concepts , instead of the term frequency , to representing the contents of a document . consequently , a formalized document framework is proposed . the document framework is used to express the meaning of a document with the concepts which are expressed by high semantic importance . the framework consists of two parts : the " domain " information and the " situation background " information of a document . a document - extracting algorithm and a two - stage smoothing method are also proposed . the quantification of the similarity between the query and the document framework depends on the smoothing method . the experiments on the trec6 collection demonstrate the feasibility and effectiveness of the proposed approach in information retrieval tasks . the average recall level precision of the model using the proposed approach is about 10 ? higher than that of traditional ones 为了获取词语在文章中的语义权重,解决词语的同义、多义模糊问题,提升信息检索的效率,提出了一种基于概念的检索模型,模型中设计了一种形式化的文本内容表示框架,框架由2部分构成:文章的"领域"以及"情景与背景"信息,并由概念(形式化语义)加以表示.同时,提出了提取该概念框架的方法,给出了用于框架与检索要求间匹配的两阶段平滑算法.实验表明,在trec6提供的小规模语料集下,采用所提出方法的信息检索模型与传统模型相比,平均召回准确率提升了约10 ? ,效果显著,充分说明了基于本文描述方法构建的、以概念作为处理中介的信息检索系统的有效性和可行性
