量詞的值域 的英文怎麼說
中文拼音 [liángcídezhíyù]
量詞的值域
英文
scope of quantifier-
A method that combines category - based and keyword - based concepts for a better information retrieval system is introduced. to improve document clustering, a document similarity measure based on cosine vector and keywords frequency in documents is proposed, but also with an input ontology. the ontology is domain specific and includes a list of keywords organized by degree of importance to the categories of the ontology, and by means of semantic knowledge, the ontology can improve the effects of document similarity measure and feedback of information retrieval systems. two approaches to evaluating the performance of this similarity measure and the comparison with standard cosine vector similarity measure are also described
介紹了一種綜合各層級分類類目和對應關鍵詞來構造概念體系並用於改進信息檢索系統效果的方法.為了改進文本聚類的效果，提出了將領域知識本體和文本關鍵詞詞頻相結合的基於餘弦向量的文本相似性測度方法.該本體面向特定領域，將關鍵詞以不同權值對應于各分類類目，通過其語義知識來改進文本相似性測度以及信息檢索系統的效果.進一步給出了對基於本體的相似性測度方法進行效果評價的2種策略以及該方法與經典餘弦向量測度方法的比較結果However, in the context of attribute initializers and assignments the named instances of the expression s type are introduced into the lexical scope with weaker visibility than variables and attributes and may be referenced with their unqualified names, for example
然而，在屬性初始化程序和賦值的上下文中，表達式類型的命名實例被引入到了詞法作用域lexical scope可見性弱於變量和屬性，並可以通過使用它們的無限定名unqualified names引用這些命名實例：This thesis analyses the existing concept - based retrieval systems, based on this introduction, and puts forward a concept retrieval system based on synonyms recognition. automatic recognition of synonyms plays an important role in concept - based information retrieval. based on the analyses of the synonyms recognition, we use the similarity degree among the words to recognize synonyms, and mining a lot of multiple synonyms
同義詞的自動發現和識別在基於概念的信息檢索領域有著重要的研究意義和應用價值，本文對國內和國外同義詞識別演算法進行研究和分析的基礎上，對基於語義體系的同義詞識別演算法，即基於《同義詞詞林》的同義詞識別演算法和基於《知網》的同義詞識別演算法進行了深入的研究，利用詞匯間的語義相似度度量來進行同義詞識別，挖掘出大量的復合詞形的同義詞。
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