answer n. 1.回答,答復(fù)。 2.解答,答案。 3.答辯,抗辯。 4.報(bào)復(fù)。 an answer to a question 某問題的解答。 have no answer to (sb.'s letter) 無回音[回信]。 in answer to …以回答,為答復(fù)(抗議等)而。 one who knows all the answers 〔美俚〕萬事通;老世故。 The answer's a lemon. 〔回答荒唐提問時(shí)用語〕你這個(gè)(可笑的)問題,無法回答;廢話! vt. 1.答,回答,答復(fù);答應(yīng)。 2.解答,答辯。 3.報(bào)復(fù)。 4.適合;符合。 5.盡(責(zé)),償(債)。 6.響應(yīng)。 answer a charge 對(duì)控告做出答辯。 answer a debt 償還債務(wù)。 answer a letter 回信。 answer a riddle 解謎。 answer blows with blows 以眼還眼,以牙還牙。 answer the bell [door] 應(yīng)聲開門。 vi. 1.回答;答辯,辯解。 2.負(fù)責(zé),保證;抵償。 3.適合;符合,一致。 4.見效,成功。 answer (to) the purpose of... 可用作…。 Gypsum answers as manure. 石膏可作肥料。 Everything answered. 事事順利[如愿]。answer for 負(fù)…的責(zé)任,保證;償(罪),負(fù)責(zé)(受處分);代(被問人)回答(I'll answer for her safety. 我將為她的安全負(fù)責(zé)。 answer for a crime 負(fù)罪責(zé)。 I won't answer for what I'll be doing. 我就老實(shí)不客氣了)。 answer to 回答;符合。 answer to the name of 叫做,名叫(The dog answers to the name of John. 這只狗叫做約翰)。 answer up 應(yīng)答快(answer up to a question 立刻回答問題)。
answer for 保證,負(fù)責(zé); 對(duì)…負(fù)有責(zé)任; 對(duì)負(fù)責(zé); 對(duì)…負(fù)責(zé);保證;起…作用; 對(duì)…負(fù)責(zé);符合…; 為……負(fù)責(zé)任
extraction n. 1.抽出,拔出。 2.【化學(xué)】提取(法);萃取(法);回收物,提出物;精煉。 3.精選,摘要。 4.血統(tǒng),家世,出身。 5.【數(shù)學(xué)】開方,求根。 spirit of the first extraction 原汁酒。 a man of foreign extraction 外國(血統(tǒng)的)人。 extractions from a book 一本書的內(nèi)容摘錄。 an extraction of 81 percent 百分之八十一的出粉率,八一粉。 the extraction of root 【數(shù)學(xué)】開方法,求根法。
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。