natural language information system 中文意思是什麼

natural language information system 解釋
自然語言信息系統
  • natural : adj 1 自然界的；關于自然界的。2 天然的；未開墾的；野生的。3 固有的 生來的 天賦的（opp acquired）...
  • language : n 1 語言；（某民族，某國的）國語；語調，措詞。2 （談話者或作者所使用的）言語，語風，文風，文體。3...
  • information : n. 1. 通知，通報，報告。2. 報導，消息，情報。3. 資料，知識，學識。4. 【自動化】信息，數據。5. 【法律】起訴，告發。adj. -al
  • system : n 1 體系，系統；分類法；組織；設備，裝置。2 方式；方法；作業方法。3 制度；主義。4 次序，規律。5 ...
  1. 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，否定不正確的實體，進一步提高了命名實體識別的準確率。
  2. The result of this research can be applied to many fields of natural language, such as questions classification in qa system, relations assignment, word assignment and statistic machine translation, information extraction, text classification and parsing of spontaneous speech

    本文的研究成果可以應用到自然語言的其他領域，比如:問答系統中問句分類，機器翻譯中的關系對齊、詞對齊和統計機器翻譯，信息抽取，文本分類，語音識別等。
  3. And at last we build a natural language understanding system - the aircraft maintenance information standardization system

    初步實現了一個自然語言理解系統? ?機務信息規范化系統。
  4. The application of clustering into information filtering, to a certain degree, promotes the filtering efficiency of the system, and plays an active role in the examination of the precision and recall of the text. the indeterminacy and vagueness of natural language cause difficulty to nlp

    本質上，聚類屬於一種無監督的學習，將聚類技術應用於信息過濾中可以在一定程度上提高系統的過濾效率，同時也對信息過濾的查準率與查全率有積極的作用。
  5. This system is composed of three primary aspects : problem processing, information retrieving and answer extracting. when user submit a question in natural language, firstly we need to clarify the intention of the user ’ s question, classify the questions, affirm the request that the answer must meet, extract the keywords and their extensions of the user ’ s question

    本文正是對中文問答系統的一個探索，系統包括三個主要組成部分:問題處理、信息檢索和答案抽取。對于用戶提交的問題，首先要掌握用戶的提問意圖，對問題進行分類，同時確定答案需要滿足的要求，並提取用戶提問中的關鍵詞及其擴展。
  6. Question - answering system is a research topic which collecting natural language processing, knowledge expressing and information retrieving to one body. it establishes on the text retrieval foundation, but it is different from the traditional search engines

    問答系統是集自然語言處理、知識表示、信息檢索於一體的研究課題，它建立在文本檢索的基礎上，但又不同於傳統的搜索引擎。
  7. The thesis restricts the research in one given field - aircraft maintenance information. in this sublanguage the problem can be simplified, so we can get simpler and clearer semantic system and it make up the base of natural language understanding in aircraft maintenance information

    本文將研究限定在一個特殊的領域? ?機務信息，在這個漢語受限子集中漢語分析問題得到簡化，有利於總結出相對簡單、清晰的語義體系，用於支持機務信息的自然語言理解。
  8. The simulation results show that, the evolution architectures model win the advantage of integrating the research production such as natural language proc essing, fuzzy logic, neural network techniques, artificial intelligent and intelligent deciding methods easily. in other words, it will take full advantage of the operators " subjective value, provide an intelligent assistant deciding environment to all levels managers, and boost the information processing ability and command & deciding levels. those advantages are attributable to that the evolution data fusion architectures are founded on the physical base of anthropic thinking and deciding, i. e., the evolution theory of nervous system

    研究表明，由於直接以人類思維與決策的物理基礎，即神經網路進化的理論為基礎建立數據融合體系結構模型，數據融合系統的進化體系結構更有利於集成諸如自然語言處理、模糊邏輯、神經網路技術、人工智慧和智能決策等方面的研究成果，它可以充分發揮指揮和操作人員的主觀能動性，為各級管理人員提供一個智能化輔佐決策環境，提高復雜網路系統的信息處理能力和指揮決策水平。
分享友人
分享到 Line

分享到臉書