| 融合语言知识的统计句法分析 |
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| 引用本文： | 袁里驰.融合语言知识的统计句法分析[J].中南大学学报(自然科学版),2012,43(3):986-991. |
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| 作者姓名： | 袁里驰 |
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| 作者单位： | 江西财经大学信息学院数据与知识工程江西省重点实验室,江西南昌,330013;中南大学信息科学与工程学院,湖南长沙,410083 |
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| 基金项目： | 国家自然科学基金资助项目(60763001);江西省自然科学基金资助项目(2009GZS0027,2010GZS0072) |
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| 摘 要： | 利用语义、语法等语言知识,建立一种分层句法分析统计模型,并进行句法分析实验.研究结果表明:该模型具有规则和统计相结合的特点,且在层次分析的不同阶段,根据不同的语法、语义、语用特性采用不同的方法和不同的统计模型；该模型结合分词、词性标注进行句法分析,是一个词汇化的句法分析模型,可同时考虑多个语义依存关系；采用该模型,精确率和召回率分别为87.23％和86.15％,其综合指标F与头驱动句法分析模型的相比提高了5.25％.
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| 关 键 词： | 自然语言处理 词聚类 中心词驱动 句法分析统计模型 |
Statistical parsing with linguistic features |
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| YUAN Li-chi.Statistical parsing with linguistic features[J].Journal of Central South University:Science and Technology,2012,43(3):986-991. |
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| Authors: | YUAN Li-chi |
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| Institution: | YUAN Li-chi1,2(1.School of Information Technology,Jiangxi University of Finance & Economics,Nanchang 330013,China;2.School of Information Science and Engineering,Central South University, Changsha 410083,China) |
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| Abstract: | By incorporating linguistic features such as semantic dependency and syntactic relations,a novel statistical parsing model was proposed,and experiments were conducted for the refined statistical parser.The results show that the mode not only takes advantage of linguistic features such as semantic dependency or syntactic relations,but also considers context such as adjoining words.The model can take advantage of a few semantic dependencies at the same time.It is a parser based on lexicalized model.It achieves 87.23% precision and 86.15% recall using the model,and comprehensive index F is improved by 5.25% compared with that using the head-driven parsing model. |
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| Keywords: | natural language processing word clustering head-driven parsing model statistical parsing model |
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