命名實體 的英文怎麼說

中文拼音 [mìngmíngshí]
命名實體 英文
name entity
  • : Ⅰ名詞1 (名字; 名稱) name; appellation 2 (名聲; 名譽) fame; reputation 3 (名義) name 4 (姓...
  • : Ⅰ形容詞1 (內部完全填滿 沒有空隙) solid 2 (真實; 實在) true; real; honest Ⅱ名詞1 (實際; 事實...
  • : 體構詞成分。
  • 命名 : nominate; nomenclature; name
  1. Purified yntatl trypanosomes were broken by n - tosyl - lysine chloromethyl ketone ( tlck ) and centrifugated by high g to form soluble proteins. the soluble proteins were chromatographed on a de - 52 column. the material in the first peak constituted the purified vsg

    用國際為yntat1 . 1 、 yntat1 . 2 、 - - - yntat1 . 20 ,從驗結果中未見這20個vats在5隻兔內按照某種特定規律變異,但是其中有15個優勢vats在連續感染中多次重復,這印證了某些vats傾向于在感染早期出現的規律( gray1965等) 。
  2. The thesis analyzes the function and the performance of the directory service, integrating with the directory service demands of urp system platform of huxi branch campus of chongqing university. to make use of openldap to provide the unified memory for various information entities of the urp system, to enable the user inquire and locate resources by analyzing the content of information memory in directory, naming the directory object, expanding the pattern design and the directory structural design and so on, to offer effective access method and to realized transparently access of the information resources

    本文分析研究了目錄服務功用和性能,結合重慶大學虎溪校區urp系統平臺的目錄服務需求,利用openldap為urp系統中的各種信息提供了統一的存儲容器,通過對目錄中的信息存儲內容分析、目錄對象,擴展模式設計、目錄結構設計等,使用戶以簡單方法就可以快速查詢和定位資源,提供有效的訪問手段,現對信息資源的透明訪問。
  3. Named entity recognition ( ner ) technologies have become a hot problem of natural language process recently. the definition of named entity by muc ( message understanding conference ) is the proper nouns and the quantifiers that people are interested in. ner can be classified to person - name, location, organization, date, number and so on. ner has been applied on many compute linguistics tasts as a subtask of information extraction, such as machine translation

    命名實體識別是目前自然語言處理研究的熱點問題。 muc ( messageunderstandingconferences )對命名實體的定義是:人們感興趣的專有詞和特定的數量詞,它一般可分為:人、地、組織機構、日期等類型。
  4. This is a key middle school in the name of famous businessman, mr. chen jinglun, equipped with many labs, two libraries and a gym

    這是一所以著商人陳經綸先生的重點中學,配備有許多驗室、兩個圖書館和一個育館。
  5. This is a key middle school in the name of the famous businessman, mr. chen jinglun, equipped with many labs, two libraries and a gym

    這是一所以著商人陳經綸先生的重點中學,配備有許多驗室、兩個圖書館和一個育館。
  6. Just as most of the natural language process technologies, the methods of ner have two classes, statistic - based and rule - based. considering of the limitation of using only one of the methods, we combined both of the methods to recognize named entity in this thesis. we combined the maching learning with ner to make the system get the ability of self - learning. we have done research on decision tree of maching learning mainly and designed a recognize model to recognize named entity. this model first used the probability and statistic way to extract the potential named entities, and then some context linguistic language information are employed in the model to recognize the named entities furtherly. as the wrong entites are denied, the recongnize effect has been improved

    鑒于單獨採用基於統計方法或基於規則方法的缺陷,在這篇論文中,採用了統計與規則相結合的方法來識別命名實體。為了使系統具有學習能力,我們把機器學習方法應用於中文命名實體的識別,這里我們著重研究了機器學習中的決策樹方法在中文命名實體識別中的應用;設計了一種基於決策樹的識別模式,該模式首先利用概率統計方法,在文本中盡量完備地識別出潛在的命名實體,然後利用潛在命名實體相關的上下文詞法、語法和語義特徵作為屬性構建決策樹,否定不正確的,進一步提高了命名實體識別的準確率。
  7. Adds a named code entity or type mapping to the

    的代碼或類型映射添加到
  8. The former includes chinese word segmentation, part - of - speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc

    前者涉及到詞法、句法、語義分析,包括漢語分詞、詞性標注、注音、命名實體識別、新詞發現、句法分析、詞義消歧等。
  9. 21 fu jianlian, chen qunxiu. topic analysis in the automatic summarization system

    中文句法分析的基礎是自動分詞詞性標注和命名實體識別。
  10. Invsam, a named, logical entity providing access to the records of a base cluster either directly or through an alternate index

    在虛擬存儲存取方法( vsam )中,提供對一個基簇中的記錄進行直接存取或是通過輔助索引存取的一個邏輯
  11. Implementation of fast speech recognition system for small vocabulary

    面向商務信息抽取的產品命名實體識別研究
  12. In this thesis, attention is concentrated on the english ner. ner is implemented with two methods, which are improved hmm and conditional random field, and the test result is analyzed. first, this thesis identifies the english named entity with improved hmm

    分別利用了改進的隱馬爾可夫模型( hiddenmarkovmodel , hmm )和條件隨機域模型( conditionalrandomfield , crf )兩種方法進行英文命名實體的識別,並對驗結果進行了分析。
  13. In answer extraction module hmm based named entity recognition is used

    答案的抽取使用了基於隱馬爾可夫模型的命名實體識別演算法。
  14. Chinese named entity ( ne ) recognition is to recognize specific entities in text

    中文命名實體( namedentity , ne )識別是指識別出文本中特定的
  15. Named entity recognition is a very important part of information retrieval and information extraction

    摘要在信息檢索、信息抽取等應用中,命名實體的處理十分重要。
  16. At present, rule - based and statistics - based are two main techniques in chinese named entity recognition field

    目前中文命名實體識別領域主要有規則和統計兩類方法。
  17. Named entity ( ne ), as the basic information unit of text, is essential to the correct understanding of a text

    命名實體是文本中基本的信息元素,是正確理解文本的基礎。
  18. In a word, chinese named entity recognition is one of the most important problems in natural language processing

    總的來說,中文命名實體識別問題是自然語言處理領域的一個基礎的重要問題。
  19. This paper investigates the sub - classification of named entities from the point of view of information retrieval and information extraction

    提出了命名實體的多級分類並給出了每一級的詳細分類。
  20. When using certificates, distinguished names provide a standard form of naming entities in a global namespace

    在使用證書時, dn ( distinguished name )可以在全局空間中提供一種標準的命名實體
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