Automatic identification of noun phrases based on statistics and rules
By analyzing the characteristics of Chinese noun phrase, propose an automatic identification method of Chinese noun phrase based on statistics and rules. The method includes efficient binary statistical model, mutual information, and rules for knowledge established from a large number of corpus. The...
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| creator | Shuicai Shi Zhijie Liu Yuqin Li Xueqiang Lv |
| description | By analyzing the characteristics of Chinese noun phrase, propose an automatic identification method of Chinese noun phrase based on statistics and rules. The method includes efficient binary statistical model, mutual information, and rules for knowledge established from a large number of corpus. Then we analyze the distribution of noun phrase in detail. The results show that the method is fit for the automatic recognition of noun phrase, and the F1 value is 85.49%. |
| doi_str_mv | 10.1109/ICCSE.2010.5593439 |
| format | Conference Proceeding |
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The method includes efficient binary statistical model, mutual information, and rules for knowledge established from a large number of corpus. Then we analyze the distribution of noun phrase in detail. The results show that the method is fit for the automatic recognition of noun phrase, and the F1 value is 85.49%.</abstract><pub>IEEE</pub><doi>10.1109/ICCSE.2010.5593439</doi><tpages>5</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | binary statistical model Computational modeling Information processing Joining processes Mutual information noun phrase rules for knowledge Speech Statistical analysis Syntactics |
| title | Automatic identification of noun phrases based on statistics and rules |
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