中南大学学报（自然科学版）
中南大學學報（自然科學版）
중남대학학보（자연과학판）
JOURNAL OF CENTRAL SOUTH UNIVERSITY
2009年
6期
1630-1635
,共6页
自然语言处理%词聚类%中心词驱动%句法分析统计模型
自然語言處理%詞聚類%中心詞驅動%句法分析統計模型
자연어언처리%사취류%중심사구동%구법분석통계모형
natural language processing%word clustering%head-driven parsing model%statistical parsing model
利用语义、语法等语言知识,建立一种基于依存关系的句法分析统计模型,并利用改进的句法分析模型进行句法分析实验.研究结果表明:利用依存关系、互信息对词聚类,能解决模型数据稀疏问题;模型可同时考虑几种语义依存关系;该模型是一个词汇化的句法分析模型,能结合分词、词性标注进行句法分析;概率上下文无关语法中由概率的上下文无关性假设和祖先结点无关性假设引起的问题在该模型中得到有效解决;精确率和召回率分别为86.96%和85.25%,其综合指标F与Collins的头驱动句法分析模型的F相比提高4.75%.
利用語義、語法等語言知識,建立一種基于依存關繫的句法分析統計模型,併利用改進的句法分析模型進行句法分析實驗.研究結果錶明:利用依存關繫、互信息對詞聚類,能解決模型數據稀疏問題;模型可同時攷慮幾種語義依存關繫;該模型是一箇詞彙化的句法分析模型,能結閤分詞、詞性標註進行句法分析;概率上下文無關語法中由概率的上下文無關性假設和祖先結點無關性假設引起的問題在該模型中得到有效解決;精確率和召迴率分彆為86.96%和85.25%,其綜閤指標F與Collins的頭驅動句法分析模型的F相比提高4.75%.
이용어의、어법등어언지식,건립일충기우의존관계적구법분석통계모형,병이용개진적구법분석모형진행구법분석실험.연구결과표명:이용의존관계、호신식대사취류,능해결모형수거희소문제;모형가동시고필궤충어의의존관계;해모형시일개사회화적구법분석모형,능결합분사、사성표주진행구법분석;개솔상하문무관어법중유개솔적상하문무관성가설화조선결점무관성가설인기적문제재해모형중득도유효해결;정학솔화소회솔분별위86.96%화85.25%,기종합지표F여Collins적두구동구법분석모형적F상비제고4.75%.
By incorporating linguistic features such as semantic dependency and syntactic relations, a novel statistical Parsing model was proposed. The experiments were conducted for the refined statistical parser. The results show that the model is constructed on word cluster, so the problem of data sparseness is not serious. The model can take advantage of a few semantic dependencies at the same time. The model is a parser based on lexicalized model, it is combined with segmentation and POS tagging model and thus a language parser is built. The questions caused by context-free hypothesis and ancestor-free hypothesis in probability context free grammar are solved well in this model. It achieves 86.96% precision and recall 85.25%, F value is improved by 4.75% compared with that of the head-driven parsing model introduced by Collins.
