詞相似效應 的英文怎麼說

中文拼音 [cíxiāngsìxiàoyīng]
詞相似效應 英文
word similarity effect
  • 詞 : 名詞1 （說話或詩歌、文章、戲劇中的語句） speech; statement; lines of play 2 （一種韻文形式 起於唐...
  • 相 : 相Ⅰ名詞1 （相貌; 外貌） looks; appearance 2 （坐、立等的姿態） bearing; posture 3 [物理學] （相位...
  • 效 : Ⅰ名詞（效果; 功用） effect; efficiency; result Ⅱ動詞1 （仿效） imitate; follow the example of 2 ...
  • 應 : 應動詞1 （回答） answer; respond to; echo 2 （滿足要求） comply with; grant 3 （順應; 適應） suit...
  • 相似 : 1. （相像） resemble; be similar; be alike 2. （相像處; 類似物） similarity; similitude; analogue
  • 效應 : [物理學] effect; action; influence
  1. Word similarity effect

    詞相似效應
  2. 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

    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。
  3. 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
  4. On the foundation of pretreatment of language c subject, analyzing three existing similarity model and designing the similarity model of language c subject ; through the introduction of hownet ’ s structure and administrative levels and primitive ’ s similarity method, achieving semantic similarity method of words based on hownet, than advancing semantic similar as hownet to solve the similarity of domain words which are not embodied in hownet ; ulteriorly, through researching existing sentence similarity model and combining it with idiographic subjects, achieving the senntence similarity model towards language c subject library ; finally telling of the similarity model arithmetic ’ s application in language c subject library, then analyzing and estimating the effect of it in order to advance the shortage and expanding direction

    在對c語言試題進行預處理的基礎上，分析了現有的三種相似度模型，並設計了c語言試題相似度模型;通過對知網的結構、層次關系以及知網中義原的相似度模型的介紹，實現了基於知網的詞的語義相似度模型，並提出用類似知網的語義詞典來解決知網中沒有收錄的領域詞匯的相似度;進一步地，通過研究現有的語句相似度模型，結合具體題目，實現了面向c語言試題庫的語句相似度模型演算法，最後具體講述了相似度演算法在c語言題庫中的應用，並對該方法的效果進行了客觀的分析和評價，以提出不足和發展方向。
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