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answer extraction中文是什么意思

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  • 例句與用法
  • In answer extraction module hmm based named entity recognition is used
    答案的抽取使用了基于隱馬爾可夫模型的命名實(shí)體識(shí)別算法。
  • In general , a question - answering system is made up of three parts : question analysis , information retrieval and answer extraction
    自動(dòng)問答系統(tǒng)一般包括三個(gè)主要組成部分:問題分析、信息檢索和答案抽取。
  • Candidate answer sentence extraction is an important part of answer extraction , which directly effects question answering system ’ s performance
    候選答案句抽取是問答系統(tǒng)中答案抽取的重要組成部分,其質(zhì)量直接影響問答系統(tǒng)的性能。
  • Question classification and answer extraction are the most important . natural language processing is used to research the two key techniques which are question classification and answer sentence extraction in this paper
    本論文主要利用自然語言處理技術(shù),研究中文問答系統(tǒng)的兩個(gè)關(guān)鍵技術(shù):問題分類和候選答案句抽取。
  • Question classification as the most important model has two functions . first , it can efficiently reduce the space of candidate answers to improve system ’ s performance , and the second is that the question type can decide an optimum strategy of answer extraction
    在問答系統(tǒng)中,問題分類作為其第一個(gè)重要模塊主要有兩個(gè)作用,第一,問題分類能有效地減少候選答案的空間,提高系統(tǒng)返回答案的準(zhǔn)確率。
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