中南大学学报（自然科学版）2011，Vol.42Issue(7)：2023-2027,5.
基于词聚类的依存句法分析
Dependency language Parsing model based on word clustering
摘要
Abstract
By incorporating linguistic features such as semantic dependency and syntactic relations, a novel statistical Parsing model was proposed. The model was constructed on cluster, and the problem of data sparseness was not serious. The model took advantage of a few semantic dependencies at the same time, and it was a parser based on lexicalized model. Experiments were conducted for the refined statistical parser. The results show that precision and recall are 88.14% and 86.93%, respectively, and comprehensive factor is improved by 6.09% compared with that of the head-driven parsing model.关键词
自然语言处理/词聚类/中心词驱动模型/句法分析统计模型Key words
natural language processing/word clustering/head-driven parsing model/statistical Parsing model分类
信息技术与安全科学引用本文复制引用
袁里驰..基于词聚类的依存句法分析[J].中南大学学报（自然科学版）,2011,42(7):2023-2027,5.基金项目
国家自然科学基金资助项目(60763001) （60763001）
江西省自然科学基金资助项目(2009GZS0027,2010GZS0072) （2009GZS0027,2010GZS0072）
全国教育科学“十一五”规划课题(ECA080292) （ECA080292）
