本文選題：軍事裝備實(shí)體　切入點(diǎn)：屬性抽取　出處：《計(jì)算機(jī)應(yīng)用研究》2016年12期

【摘要】：軍事裝備屬性抽取作為構(gòu)建軍用知識(shí)庫(kù)的重要組成部分,具有重要的研究?jī)r(jià)值和理論意義。針對(duì)自由文本中軍事裝備屬性抽取問(wèn)題,提出了一種面向自由文本的無(wú)監(jiān)督軍事裝備屬性三元組抽取方法。首先利用統(tǒng)計(jì)分析的方法對(duì)屬性三元組在子句中的分布規(guī)律進(jìn)行研究;然后針對(duì)分布規(guī)律提出一種基于頻繁模式挖掘的屬性指示詞抽取算法,并以抽取出的屬性指示詞為觸發(fā)詞,結(jié)合抽取規(guī)則和過(guò)濾規(guī)則進(jìn)一步完成三元組的抽取。實(shí)驗(yàn)結(jié)果表明該方法能夠有效地抽取出軍事裝備屬性三元組,其平均準(zhǔn)確率達(dá)到了88.1%。
[Abstract]:As an important part of constructing military knowledge base, attribute extraction of military equipment has important research value and theoretical significance.In order to solve the problem of attribute extraction of military equipment in free text, a method of unsupervised attribute extraction of military equipment for free text is proposed.Firstly, the distribution of attribute triples in clauses is studied by means of statistical analysis, and then an algorithm for extracting attribute deixis based on frequent pattern mining is proposed.Taking the extracted attribute indicator as the trigger word and combining the extraction rule with the filtering rule, the triple extraction is further completed.The experimental results show that the proposed method can extract the attribute triples of military equipment effectively, and the average accuracy is up to 88.1g.
【作者單位】： 解放軍理工大學(xué)指揮信息系統(tǒng)學(xué)院仿真與數(shù)據(jù)中心;
【基金】：江蘇省自然科學(xué)基金資助項(xiàng)目(BK20150720)
【分類號(hào)】：TP391.1
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本文編號(hào)：1729754